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Author SHA1 Message Date
Ben Meadors
ed063568b5 Enhance congestion scaling coefficient for online nodes with power-law scaling 2026-01-28 06:34:47 -06:00
21 changed files with 177 additions and 484 deletions

View File

@@ -1,204 +0,0 @@
name: Issue Triage (Models)
on:
issues:
types: [opened]
permissions:
issues: write
models: read
concurrency:
group: ${{ github.workflow }}-${{ github.event.issue.number }}
cancel-in-progress: true
jobs:
triage:
if: ${{ github.repository == 'meshtastic/firmware' && github.event.issue.user.type != 'Bot' }}
runs-on: ubuntu-latest
steps:
# ─────────────────────────────────────────────────────────────────────────
# Step 1: Quality check (spam/AI-slop detection) - runs first, exits early if spam
# ─────────────────────────────────────────────────────────────────────────
- name: Detect spam or low-quality content
uses: actions/ai-inference@v2
id: quality
continue-on-error: true
with:
max-tokens: 20
prompt: |
Is this GitHub issue spam, AI-generated slop, or low quality?
Title: ${{ github.event.issue.title }}
Body: ${{ github.event.issue.body }}
Respond with exactly one of: spam, ai-generated, needs-review, ok
system-prompt: You detect spam and low-quality contributions. Be conservative - only flag obvious spam or AI slop.
model: openai/gpt-4o-mini
- name: Apply quality label if needed
if: steps.quality.outputs.response != '' && steps.quality.outputs.response != 'ok'
uses: actions/github-script@v8
env:
QUALITY_LABEL: ${{ steps.quality.outputs.response }}
with:
script: |
const label = (process.env.QUALITY_LABEL || '').trim().toLowerCase();
const labelMeta = {
'spam': { color: 'd73a4a', description: 'Possible spam' },
'ai-generated': { color: 'fbca04', description: 'Possible AI-generated low-quality content' },
'needs-review': { color: 'f9d0c4', description: 'Needs human review' },
};
const meta = labelMeta[label];
if (!meta) return;
// Ensure label exists
try {
await github.rest.issues.getLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label });
} catch (e) {
if (e.status !== 404) throw e;
await github.rest.issues.createLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label, color: meta.color, description: meta.description });
}
// Apply label
await github.rest.issues.addLabels({ owner: context.repo.owner, repo: context.repo.repo, issue_number: context.payload.issue.number, labels: [label] });
// Set output to skip remaining steps
core.setOutput('is_spam', 'true');
# ─────────────────────────────────────────────────────────────────────────
# Step 2: Duplicate detection - only if not spam
# ─────────────────────────────────────────────────────────────────────────
- name: Detect duplicate issues
if: steps.quality.outputs.response == 'ok' || steps.quality.outputs.response == ''
uses: pelikhan/action-genai-issue-dedup@bdb3b5d9451c1090ffcdf123d7447a5e7c7a2528 # v0.0.19
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
# ─────────────────────────────────────────────────────────────────────────
# Step 3: Completeness check + auto-labeling (combined into one AI call)
# ─────────────────────────────────────────────────────────────────────────
- name: Determine if completeness check should be skipped
if: steps.quality.outputs.response == 'ok' || steps.quality.outputs.response == ''
uses: actions/github-script@v8
id: check-skip
with:
script: |
const title = (context.payload.issue.title || '').toLowerCase();
const labels = (context.payload.issue.labels || []).map(label => label.name);
const hasFeatureRequest = title.includes('feature request');
const hasEnhancement = labels.includes('enhancement');
const shouldSkip = hasFeatureRequest && hasEnhancement;
core.setOutput('should_skip', shouldSkip ? 'true' : 'false');
- name: Analyze issue completeness and determine labels
if: (steps.quality.outputs.response == 'ok' || steps.quality.outputs.response == '') && steps.check-skip.outputs.should_skip != 'true'
uses: actions/ai-inference@v2
id: analysis
continue-on-error: true
with:
prompt: |
Analyze this GitHub issue for completeness and determine if it needs labels.
If this looks like a bug on the device/firmware (crash, reboot, lockup, radio issues, GPS issues, display issues, power/sleep issues), request device logs and explain how to get them:
Web Flasher logs:
- Go to https://flasher.meshtastic.org
- Connect the device via USB and click Connect
- Open the device console/log output, reproduce the problem, then copy/download and attach/paste the logs
Meshtastic CLI logs:
- Run: meshtastic --port <serial-port> --noproto
- Reproduce the problem, then copy/paste the terminal output
Also request key context if missing: device model/variant, firmware version, region, steps to reproduce, expected vs actual.
Respond ONLY with JSON:
{
"complete": true|false,
"comment": "Your helpful comment requesting missing info, or empty string if complete",
"label": "needs-logs" | "needs-info" | "none"
}
Use "needs-logs" if this is a device bug AND no logs are attached.
Use "needs-info" if basic info like firmware version or steps to reproduce are missing.
Use "none" if the issue is complete or is a feature request.
Title: ${{ github.event.issue.title }}
Body: ${{ github.event.issue.body }}
system-prompt: You are a helpful assistant that triages GitHub issues. Be conservative with labels.
model: openai/gpt-4o-mini
- name: Process analysis result
if: (steps.quality.outputs.response == 'ok' || steps.quality.outputs.response == '') && steps.check-skip.outputs.should_skip != 'true' && steps.analysis.outputs.response != ''
uses: actions/github-script@v8
id: process
env:
AI_RESPONSE: ${{ steps.analysis.outputs.response }}
with:
script: |
const raw = (process.env.AI_RESPONSE || '').trim();
let complete = false;
let comment = '';
let label = 'none';
try {
const parsed = JSON.parse(raw);
complete = !!parsed.complete;
comment = (parsed.comment ?? '').toString().trim();
label = (parsed.label ?? 'none').toString().trim().toLowerCase();
} catch {
// If JSON parse fails, treat as incomplete with raw response as comment
complete = false;
comment = raw;
label = 'none';
}
// Validate label
const allowedLabels = new Set(['needs-logs', 'needs-info', 'none']);
if (!allowedLabels.has(label)) label = 'none';
core.setOutput('should_comment', (!complete && comment.length > 0) ? 'true' : 'false');
core.setOutput('comment_body', comment);
core.setOutput('label', label);
- name: Apply triage label
if: steps.process.outputs.label != '' && steps.process.outputs.label != 'none'
uses: actions/github-script@v8
env:
LABEL_NAME: ${{ steps.process.outputs.label }}
with:
script: |
const label = process.env.LABEL_NAME;
const labelMeta = {
'needs-logs': { color: 'cfd3d7', description: 'Device logs requested for triage' },
'needs-info': { color: 'f9d0c4', description: 'More information requested for triage' },
};
const meta = labelMeta[label];
if (!meta) return;
// Ensure label exists
try {
await github.rest.issues.getLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label });
} catch (e) {
if (e.status !== 404) throw e;
await github.rest.issues.createLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label, color: meta.color, description: meta.description });
}
// Apply label
await github.rest.issues.addLabels({ owner: context.repo.owner, repo: context.repo.repo, issue_number: context.payload.issue.number, labels: [label] });
- name: Comment on issue
if: steps.process.outputs.should_comment == 'true'
uses: actions/github-script@v8
env:
COMMENT_BODY: ${{ steps.process.outputs.comment_body }}
with:
script: |
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: context.payload.issue.number,
body: process.env.COMMENT_BODY
});

View File

@@ -1,138 +0,0 @@
name: PR Triage (Models)
on:
pull_request_target:
types: [opened]
permissions:
pull-requests: write
issues: write
models: read
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number }}
cancel-in-progress: true
jobs:
triage:
if: ${{ github.repository == 'meshtastic/firmware' && github.event.pull_request.user.type != 'Bot' }}
runs-on: ubuntu-latest
steps:
# ─────────────────────────────────────────────────────────────────────────
# Step 1: Check if PR already has automation/type labels (skip if so)
# ─────────────────────────────────────────────────────────────────────────
- name: Check existing labels
uses: actions/github-script@v8
id: check-labels
with:
script: |
const skipLabels = new Set(['automation']);
const typeLabels = new Set(['bugfix', 'hardware-support', 'enhancement', 'dependencies', 'submodules', 'github_actions', 'trunk', 'cleanup']);
const prLabels = context.payload.pull_request.labels.map(l => l.name);
const shouldSkipAll = prLabels.some(l => skipLabels.has(l));
const hasTypeLabel = prLabels.some(l => typeLabels.has(l));
core.setOutput('skip_all', shouldSkipAll ? 'true' : 'false');
core.setOutput('has_type_label', hasTypeLabel ? 'true' : 'false');
# ─────────────────────────────────────────────────────────────────────────
# Step 2: Quality check (spam/AI-slop detection)
# ─────────────────────────────────────────────────────────────────────────
- name: Detect spam or low-quality content
if: steps.check-labels.outputs.skip_all != 'true'
uses: actions/ai-inference@v2
id: quality
continue-on-error: true
with:
max-tokens: 20
prompt: |
Is this GitHub pull request spam, AI-generated slop, or low quality?
Title: ${{ github.event.pull_request.title }}
Body: ${{ github.event.pull_request.body }}
Respond with exactly one of: spam, ai-generated, needs-review, ok
system-prompt: You detect spam and low-quality contributions. Be conservative - only flag obvious spam or AI slop.
model: openai/gpt-4o-mini
- name: Apply quality label if needed
if: steps.check-labels.outputs.skip_all != 'true' && steps.quality.outputs.response != '' && steps.quality.outputs.response != 'ok'
uses: actions/github-script@v8
id: quality-label
env:
QUALITY_LABEL: ${{ steps.quality.outputs.response }}
with:
script: |
const label = (process.env.QUALITY_LABEL || '').trim().toLowerCase();
const labelMeta = {
'spam': { color: 'd73a4a', description: 'Possible spam' },
'ai-generated': { color: 'fbca04', description: 'Possible AI-generated low-quality content' },
'needs-review': { color: 'f9d0c4', description: 'Needs human review' },
};
const meta = labelMeta[label];
if (!meta) return;
// Ensure label exists
try {
await github.rest.issues.getLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label });
} catch (e) {
if (e.status !== 404) throw e;
await github.rest.issues.createLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label, color: meta.color, description: meta.description });
}
// Apply label
await github.rest.issues.addLabels({ owner: context.repo.owner, repo: context.repo.repo, issue_number: context.payload.pull_request.number, labels: [label] });
core.setOutput('is_spam', 'true');
# ─────────────────────────────────────────────────────────────────────────
# Step 3: Auto-label PR type (bugfix/hardware-support/enhancement)
# ─────────────────────────────────────────────────────────────────────────
- name: Classify PR for labeling
if: steps.check-labels.outputs.skip_all != 'true' && steps.check-labels.outputs.has_type_label != 'true' && (steps.quality.outputs.response == 'ok' || steps.quality.outputs.response == '')
uses: actions/ai-inference@v2
id: classify
continue-on-error: true
with:
max-tokens: 30
prompt: |
Classify this pull request into exactly one category.
Return exactly one of: bugfix, hardware-support, enhancement
Use bugfix if it fixes a bug, crash, or incorrect behavior.
Use hardware-support if it adds or improves support for a specific hardware device/variant.
Use enhancement if it adds a new feature, improves performance, or refactors code.
Title: ${{ github.event.pull_request.title }}
Body: ${{ github.event.pull_request.body }}
system-prompt: You classify pull requests into categories. Be conservative and pick the most appropriate single label.
model: openai/gpt-4o-mini
- name: Apply type label
if: steps.check-labels.outputs.skip_all != 'true' && steps.check-labels.outputs.has_type_label != 'true' && steps.classify.outputs.response != ''
uses: actions/github-script@v8
env:
TYPE_LABEL: ${{ steps.classify.outputs.response }}
with:
script: |
const label = (process.env.TYPE_LABEL || '').trim().toLowerCase();
const labelMeta = {
'bugfix': { color: 'd73a4a', description: 'Bug fix' },
'hardware-support': { color: '0e8a16', description: 'Hardware support addition or improvement' },
'enhancement': { color: 'a2eeef', description: 'New feature or enhancement' },
};
const meta = labelMeta[label];
if (!meta) return;
// Ensure label exists
try {
await github.rest.issues.getLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label });
} catch (e) {
if (e.status !== 404) throw e;
await github.rest.issues.createLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label, color: meta.color, description: meta.description });
}
// Apply label
await github.rest.issues.addLabels({ owner: context.repo.owner, repo: context.repo.repo, issue_number: context.payload.pull_request.number, labels: [label] });

View File

@@ -1,5 +1,6 @@
#pragma once
#include <NodeDB.h>
#include <cmath>
#include <cstdint>
#include <meshUtils.h>
#define ONE_DAY 24 * 60 * 60
@@ -57,31 +58,79 @@ class Default
static uint32_t getConfiguredOrMinimumValue(uint32_t configured, uint32_t minValue);
private:
// Note: Kept as uint32_t to match the public API parameter type
/**
* Calculates a congestion scaling coefficient based on the number of online nodes.
*
* Uses power-law scaling (exponent 1.2) which provides a soft start that accelerates
* as node count increases - matching the superlinear growth of flood routing traffic.
*
* Scaling starts at 20 nodes (simulator shows congestion problems emerging early).
* Different modem presets have different channel capacities based on airtime per packet.
*
* Examples for LongFast (capacityMultiplier = 1.0):
* 20 nodes: 1.0x, 50 nodes: ~3.0x, 100 nodes: ~6.9x, 200 nodes: ~15.8x
* Examples for ShortFast (capacityMultiplier = 0.5):
* 20 nodes: 1.0x, 50 nodes: ~2.0x, 100 nodes: ~4.0x, 200 nodes: ~8.4x
*/
static float congestionScalingCoefficient(uint32_t numOnlineNodes)
{
if (numOnlineNodes <= 40) {
return 1.0;
} else {
float throttlingFactor = 0.075;
if (config.lora.use_preset && config.lora.modem_preset == meshtastic_Config_LoRaConfig_ModemPreset_MEDIUM_SLOW)
throttlingFactor = 0.04;
else if (config.lora.use_preset && config.lora.modem_preset == meshtastic_Config_LoRaConfig_ModemPreset_MEDIUM_FAST)
throttlingFactor = 0.02;
else if (config.lora.use_preset &&
IS_ONE_OF(config.lora.modem_preset, meshtastic_Config_LoRaConfig_ModemPreset_SHORT_FAST,
meshtastic_Config_LoRaConfig_ModemPreset_SHORT_TURBO,
meshtastic_Config_LoRaConfig_ModemPreset_SHORT_SLOW))
throttlingFactor = 0.01;
// Start scaling at 20 nodes - meshes show congestion problems earlier than 40
if (numOnlineNodes <= 20) {
return 1.0f;
}
// Use power-law scaling (p=1.2) - soft start that accelerates with node count,
// matching the superlinear growth of flood routing traffic
float baseScale = powf(static_cast<float>(numOnlineNodes) / 20.0f, 1.2f);
// Apply modem-specific capacity multiplier based on relative channel capacity.
// Capacity is inversely proportional to airtime - faster modems can handle more
// traffic before congestion, so we scale their intervals less aggressively.
// Airtime values are for a typical 237-byte packet (max payload).
float capacityMultiplier = 1.0f;
if (config.lora.use_preset) {
switch (config.lora.modem_preset) {
case meshtastic_Config_LoRaConfig_ModemPreset_SHORT_TURBO:
capacityMultiplier = 0.3f; // ~28ms airtime, BW500 SF5
break;
case meshtastic_Config_LoRaConfig_ModemPreset_SHORT_FAST:
capacityMultiplier = 0.5f; // ~50ms airtime, BW500 SF7
break;
case meshtastic_Config_LoRaConfig_ModemPreset_SHORT_SLOW:
capacityMultiplier = 0.7f; // ~100ms airtime, BW500 SF8
break;
case meshtastic_Config_LoRaConfig_ModemPreset_MEDIUM_FAST:
capacityMultiplier = 0.7f; // ~100ms airtime, BW250 SF7
break;
case meshtastic_Config_LoRaConfig_ModemPreset_MEDIUM_SLOW:
capacityMultiplier = 0.85f; // ~200ms airtime, BW250 SF8
break;
case meshtastic_Config_LoRaConfig_ModemPreset_LONG_TURBO:
capacityMultiplier = 0.85f; // ~150ms airtime, BW250 SF9
break;
case meshtastic_Config_LoRaConfig_ModemPreset_LONG_FAST:
capacityMultiplier = 1.0f; // ~300ms airtime, BW250 SF10 (baseline)
break;
case meshtastic_Config_LoRaConfig_ModemPreset_LONG_MODERATE:
capacityMultiplier = 1.0f; // ~350ms airtime, BW125 SF9
break;
case meshtastic_Config_LoRaConfig_ModemPreset_LONG_SLOW:
capacityMultiplier = 1.3f; // ~700ms airtime, BW125 SF10
break;
case meshtastic_Config_LoRaConfig_ModemPreset_VERY_LONG_SLOW:
capacityMultiplier = 1.3f; // ~1400ms airtime, BW62.5 SF11
break;
default:
capacityMultiplier = 1.0f;
break;
}
}
#if USERPREFS_EVENT_MODE
// If we are in event mode, scale down the throttling factor
throttlingFactor = 0.04;
// Event mode: more aggressive throttling for dense temporary meshes
capacityMultiplier *= 1.5f;
#endif
// Scaling up traffic based on number of nodes over 40
int nodesOverForty = (numOnlineNodes - 40);
return 1.0 + (nodesOverForty * throttlingFactor); // Each number of online node scales by 0.075 (default)
}
return 1.0f + (baseScale - 1.0f) * capacityMultiplier;
}
};

View File

@@ -442,7 +442,6 @@ ExternalNotificationModule::ExternalNotificationModule()
ProcessMessage ExternalNotificationModule::handleReceived(const meshtastic_MeshPacket &mp)
{
// Trigger external notification if enabled and not muted; isSilenced is from temporary mute toggles
if (moduleConfig.external_notification.enabled && !isSilenced) {
#ifdef T_WATCH_S3
drv.setWaveform(0, 75);
@@ -457,7 +456,6 @@ ProcessMessage ExternalNotificationModule::handleReceived(const meshtastic_MeshP
for (size_t i = 0; i < p.payload.size; i++) {
if (p.payload.bytes[i] == ASCII_BELL) {
containsBell = true;
break;
}
}
@@ -467,47 +465,90 @@ ProcessMessage ExternalNotificationModule::handleReceived(const meshtastic_MeshP
// If we receive a broadcast message, apply channel mute setting
// If we receive a direct message and the receipent is us, apply DM mute setting
// Else we just handle it as not muted.
const bool isDmToUs = !isBroadcast(mp.to) && isToUs(&mp);
bool is_muted = isDmToUs ? (sender && ((sender->bitfield & NODEINFO_BITFIELD_IS_MUTED_MASK) != 0))
: (ch.settings.has_module_settings && ch.settings.module_settings.is_muted);
const bool directToUs = !isBroadcast(mp.to) && isToUs(&mp);
bool is_muted = directToUs ? (sender && ((sender->bitfield & NODEINFO_BITFIELD_IS_MUTED_MASK) != 0))
: (ch.settings.has_module_settings && ch.settings.module_settings.is_muted);
const bool buzzerModeIsDirectOnly =
(config.device.buzzer_mode == meshtastic_Config_DeviceConfig_BuzzerMode_DIRECT_MSG_ONLY);
if (containsBell || !is_muted) {
if (moduleConfig.external_notification.alert_bell || moduleConfig.external_notification.alert_message ||
moduleConfig.external_notification.alert_bell_vibra ||
moduleConfig.external_notification.alert_message_vibra ||
((moduleConfig.external_notification.alert_bell_buzzer ||
moduleConfig.external_notification.alert_message_buzzer) &&
canBuzz())) {
nagCycleCutoff = millis() + (moduleConfig.external_notification.nag_timeout
? (moduleConfig.external_notification.nag_timeout * 1000)
: moduleConfig.external_notification.output_ms);
LOG_INFO("Toggling nagCycleCutoff to %lu", nagCycleCutoff);
if (moduleConfig.external_notification.alert_bell) {
if (containsBell) {
LOG_INFO("externalNotificationModule - Notification Bell");
isNagging = true;
}
if (moduleConfig.external_notification.alert_bell || moduleConfig.external_notification.alert_message) {
LOG_INFO("externalNotificationModule - Notification Module or Bell");
setExternalState(0, true);
}
if (moduleConfig.external_notification.alert_bell_vibra ||
moduleConfig.external_notification.alert_message_vibra) {
LOG_INFO("externalNotificationModule - Notification Module or Bell (Vibra)");
setExternalState(1, true);
}
if ((moduleConfig.external_notification.alert_bell_buzzer ||
moduleConfig.external_notification.alert_message_buzzer) &&
canBuzz()) {
LOG_INFO("externalNotificationModule - Notification Module or Bell (Buzzer)");
if (buzzerModeIsDirectOnly && !isDmToUs && !containsBell) {
LOG_INFO("Message buzzer was suppressed because buzzer mode DIRECT_MSG_ONLY");
if (moduleConfig.external_notification.nag_timeout) {
nagCycleCutoff = millis() + moduleConfig.external_notification.nag_timeout * 1000;
} else {
// Buzz if buzzer mode is not in DIRECT_MSG_ONLY or is DM to us
nagCycleCutoff = millis() + moduleConfig.external_notification.output_ms;
}
}
}
if (moduleConfig.external_notification.alert_bell_vibra) {
if (containsBell) {
LOG_INFO("externalNotificationModule - Notification Bell (Vibra)");
isNagging = true;
setExternalState(1, true);
if (moduleConfig.external_notification.nag_timeout) {
nagCycleCutoff = millis() + moduleConfig.external_notification.nag_timeout * 1000;
} else {
nagCycleCutoff = millis() + moduleConfig.external_notification.output_ms;
}
}
}
if (moduleConfig.external_notification.alert_bell_buzzer && canBuzz()) {
if (containsBell) {
LOG_INFO("externalNotificationModule - Notification Bell (Buzzer)");
isNagging = true;
if (!moduleConfig.external_notification.use_pwm && !moduleConfig.external_notification.use_i2s_as_buzzer) {
setExternalState(2, true);
} else {
#ifdef HAS_I2S
if (moduleConfig.external_notification.use_i2s_as_buzzer) {
audioThread->beginRttl(rtttlConfig.ringtone, strlen_P(rtttlConfig.ringtone));
} else
#endif
if (moduleConfig.external_notification.use_pwm) {
rtttl::begin(config.device.buzzer_gpio, rtttlConfig.ringtone);
}
}
if (moduleConfig.external_notification.nag_timeout) {
nagCycleCutoff = millis() + moduleConfig.external_notification.nag_timeout * 1000;
} else {
nagCycleCutoff = millis() + moduleConfig.external_notification.output_ms;
}
}
}
if (moduleConfig.external_notification.alert_message && !is_muted) {
LOG_INFO("externalNotificationModule - Notification Module");
isNagging = true;
setExternalState(0, true);
if (moduleConfig.external_notification.nag_timeout) {
nagCycleCutoff = millis() + moduleConfig.external_notification.nag_timeout * 1000;
} else {
nagCycleCutoff = millis() + moduleConfig.external_notification.output_ms;
}
}
if (moduleConfig.external_notification.alert_message_vibra && !is_muted) {
LOG_INFO("externalNotificationModule - Notification Module (Vibra)");
isNagging = true;
setExternalState(1, true);
if (moduleConfig.external_notification.nag_timeout) {
nagCycleCutoff = millis() + moduleConfig.external_notification.nag_timeout * 1000;
} else {
nagCycleCutoff = millis() + moduleConfig.external_notification.output_ms;
}
}
if (moduleConfig.external_notification.alert_message_buzzer && !is_muted) {
LOG_INFO("externalNotificationModule - Notification Module (Buzzer)");
if (config.device.buzzer_mode != meshtastic_Config_DeviceConfig_BuzzerMode_DIRECT_MSG_ONLY ||
(!isBroadcast(mp.to) && isToUs(&mp))) {
// Buzz if buzzer mode is not in DIRECT_MSG_ONLY or is DM to us
isNagging = true;
#ifdef T_LORA_PAGER
if (canBuzz()) {
drv.setWaveform(0, 16); // Long buzzer 100%
drv.setWaveform(1, 0); // Pause
drv.setWaveform(2, 16);
@@ -517,7 +558,11 @@ ProcessMessage ExternalNotificationModule::handleReceived(const meshtastic_MeshP
drv.setWaveform(6, 16);
drv.setWaveform(7, 0);
drv.go();
}
#endif
if (!moduleConfig.external_notification.use_pwm && !moduleConfig.external_notification.use_i2s_as_buzzer) {
setExternalState(2, true);
} else {
#ifdef HAS_I2S
if (moduleConfig.external_notification.use_i2s_as_buzzer) {
audioThread->beginRttl(rtttlConfig.ringtone, strlen_P(rtttlConfig.ringtone));
@@ -525,13 +570,18 @@ ProcessMessage ExternalNotificationModule::handleReceived(const meshtastic_MeshP
#endif
if (moduleConfig.external_notification.use_pwm) {
rtttl::begin(config.device.buzzer_gpio, rtttlConfig.ringtone);
} else {
setExternalState(2, true);
}
}
if (moduleConfig.external_notification.nag_timeout) {
nagCycleCutoff = millis() + moduleConfig.external_notification.nag_timeout * 1000;
} else {
nagCycleCutoff = millis() + moduleConfig.external_notification.output_ms;
}
} else {
// Don't beep if buzzer mode is "direct messages only" and it is no direct message
LOG_INFO("Message buzzer was suppressed because buzzer mode DIRECT_MSG_ONLY");
}
}
setIntervalFromNow(0); // run once so we know if we should do something
}
} else {

View File

@@ -1,64 +0,0 @@
/**
* AI Slop Test File - This is intentionally AI-generated looking content
*
* This function serves the purpose of demonstrating and testing the capability
* of the advanced machine learning model to comprehensively identify and accurately
* classify content that exhibits characteristics commonly associated with artificial
* intelligence-generated compositions, including but not limited to: redundant phrasing,
* verbose explanations, generic descriptions, lack of specific implementation details,
* and an overall tone that suggests automated generation rather than human authorship.
*
* The methodology employed herein leverages sophisticated algorithms and innovative
* approaches to systematically and methodically accomplish the following objectives:
* 1. To demonstrate the robustness of the classification system
* 2. To showcase the effectiveness of modern detection techniques
* 3. To validate the operational parameters of the triaging infrastructure
* 4. To comprehensively evaluate the performance metrics of the solution
*
* Implementation considerations and technical specifications have been carefully
* considered and thoughtfully incorporated to ensure optimal functionality and
* seamless integration with existing systems and protocols.
*/
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
/**
* A comprehensive and thoroughly documented function that implements
* a sophisticated approach to value processing and subsequent display.
*/
void demonstrateAIGeneratedCode(const char *input_value)
{
// Initialize variables with appropriate data types
int status_code = 0;
char buffer[256];
// Implement conditional logic to handle various scenarios
if (input_value != NULL) {
// Perform string manipulation operations
snprintf(buffer, sizeof(buffer), "Processing input: %s", input_value);
printf("%s\n", buffer);
status_code = 1;
} else {
// Handle null input scenario appropriately
printf("Input value was null\n");
status_code = 0;
}
// Return and indicate completion
return;
}
/**
* Primary entry point for application execution.
* This function orchestrates the overall flow and coordination of various
* components to achieve the desired outcomes and objectives.
*/
int main()
{
printf("Initiating execution of AI slop detection test...\n");
demonstrateAIGeneratedCode("test data");
printf("Execution completed successfully.\n");
return 0;
}

View File

@@ -12,4 +12,4 @@ build_flags =
lib_deps =
${esp32_base.lib_deps}
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.7

View File

@@ -36,4 +36,4 @@ lib_ignore =
lib_deps =
${esp32_base.lib_deps}
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.7

View File

@@ -11,7 +11,7 @@ build_flags =
lib_deps =
${esp32_base.lib_deps}
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.7
# renovate: datasource=custom.pio depName=SX1509 IO Expander packageName=sparkfun/library/SX1509 IO Expander
sparkfun/SX1509 IO Expander@3.0.6
# renovate: datasource=custom.pio depName=APA102 packageName=pololu/library/APA102

View File

@@ -126,7 +126,7 @@ build_flags =
lib_deps = ${heltec_v4_base.lib_deps}
; ${device-ui_base.lib_deps}
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.0
# renovate: datasource=git-refs depName=Quency-D_chsc6x packageName=https://github.com/Quency-D/chsc6x gitBranch=master
https://github.com/Quency-D/chsc6x/archive/5cbead829d6b432a8d621ed1aafd4eb474fd4f27.zip
; TODO revert to official device-ui (when merged)

View File

@@ -24,4 +24,4 @@ build_flags =
lib_deps =
${esp32s3_base.lib_deps}
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.7

View File

@@ -22,4 +22,4 @@ build_flags =
lib_deps =
${esp32s3_base.lib_deps}
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.7

View File

@@ -20,4 +20,4 @@ build_flags =
lib_deps =
${esp32s3_base.lib_deps}
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.7

View File

@@ -51,7 +51,7 @@ lib_deps =
${esp32s3_base.lib_deps}
${device-ui_base.lib_deps}
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.7
[mesh_tab_xpt2046]
extends = mesh_tab_base

View File

@@ -24,7 +24,7 @@ build_flags =
lib_deps =
${esp32s3_base.lib_deps}
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.7
build_src_filter =
${esp32s3_base.build_src_filter}

View File

@@ -16,7 +16,7 @@ build_flags =
lib_deps =
${esp32s3_base.lib_deps}
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.7
[ft5x06]
extends = mesh_tab_base

View File

@@ -28,7 +28,7 @@ build_flags = ${esp32s3_base.build_flags}
lib_deps = ${esp32s3_base.lib_deps}
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.7
# renovate: datasource=custom.pio depName=ESP8266Audio packageName=earlephilhower/library/ESP8266Audio
earlephilhower/ESP8266Audio@1.9.9
# renovate: datasource=custom.pio depName=ESP8266SAM packageName=earlephilhower/library/ESP8266SAM

View File

@@ -22,7 +22,7 @@ build_flags = ${esp32s3_base.build_flags}
lib_deps = ${esp32s3_base.lib_deps}
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.7
# renovate: datasource=custom.pio depName=SensorLib packageName=lewisxhe/library/SensorLib
lewisxhe/SensorLib@0.3.4
# renovate: datasource=custom.pio depName=Adafruit DRV2605 packageName=adafruit/library/Adafruit DRV2605 Library

View File

@@ -33,7 +33,7 @@ build_flags = ${esp32s3_base.build_flags}
lib_deps = ${esp32s3_base.lib_deps}
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.7
# renovate: datasource=custom.pio depName=ESP8266Audio packageName=earlephilhower/library/ESP8266Audio
earlephilhower/ESP8266Audio@1.9.9
# renovate: datasource=custom.pio depName=ESP8266SAM packageName=earlephilhower/library/ESP8266SAM

View File

@@ -22,7 +22,7 @@ build_flags =
lib_deps =
${esp32s3_base.lib_deps}
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.7
[env:tracksenger-lcd]
custom_meshtastic_hw_model = 48
@@ -48,7 +48,7 @@ build_flags =
lib_deps =
${esp32s3_base.lib_deps}
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.7
[env:tracksenger-oled]
custom_meshtastic_hw_model = 48

View File

@@ -37,7 +37,7 @@ build_src_filter =
lib_deps = ${esp32s3_base.lib_deps}
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.0
# TODO renovate
https://gitlab.com/hamishcunningham/unphonelibrary#meshtastic@9.0.0
# renovate: datasource=custom.pio depName=NeoPixel packageName=adafruit/library/Adafruit NeoPixel

View File

@@ -27,7 +27,7 @@ lib_deps =
# renovate: datasource=custom.pio depName=rweather/Crypto packageName=rweather/library/Crypto
rweather/Crypto@0.4.0
# renovate: datasource=custom.pio depName=LovyanGFX packageName=lovyan03/library/LovyanGFX
lovyan03/LovyanGFX@1.2.19
lovyan03/LovyanGFX@1.2.7
# renovate: datasource=git-refs depName=libch341-spi-userspace packageName=https://github.com/pine64/libch341-spi-userspace gitBranch=main
https://github.com/pine64/libch341-spi-userspace/archive/23c42319a69cffcb65868e3c72e6bed83974a393.zip
# renovate: datasource=custom.pio depName=adafruit/Adafruit seesaw Library packageName=adafruit/library/Adafruit seesaw Library