Added NodeDB fixtures and refactored to use std maps for better memory efficiency (#10464)
* Added NodeDB fixtures and refactored to use std maps for better efficiency * Defer NodeDB save during xmodem transfer to prevent mid-transfer fsFormat
This commit is contained in:
Ben Meadors
Executable
+439
@@ -0,0 +1,439 @@
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#!/usr/bin/env python3
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"""Deterministic seed-data generator for the fake NodeDB fixture pipeline.
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Writes a JSONL file describing N fake-but-realistic Meshtastic peers.
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The output is hand-editable and committed; a sibling compile step
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(bin/seed-json-to-proto.py) turns it into a binary `meshtastic_NodeDatabase`
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v25 protobuf with fresh "now-relative" timestamps.
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Determinism contract:
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Same --seed -> byte-identical JSONL output, regardless of wall clock.
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All timestamps are stored as `*_offset_sec` (seconds before "now"); the
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compile step resolves them to absolute epochs at compile time.
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Structural fields covered:
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* NodeInfoLite header: num, long_name, short_name, hw_model, role,
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public_key, snr, channel, hops_away, next_hop, bitfield flags
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* PositionLite: lat/long Gaussian around --centroid, altitude, source
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* DeviceMetrics: battery/voltage/util/uptime
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* EnvironmentMetrics: temp/humidity/pressure/iaq
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* StatusMessage: error_code (usually zero)
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Active-board allow-list:
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hw_model values are restricted to the intersection of
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(a) variants with `custom_meshtastic_support_level = 1` in
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variants/*/*/platformio.ini, AND
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(b) values present in the `HardwareModel` enum in mesh.proto.
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See HW_MODEL_WEIGHTS below. Deprecated boards (legacy TLORA / Heltec V1-2 /
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classic TBEAM / TBEAM_V0P7 / Nano G1 / etc.) and fuzzer-only sentinels
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(PORTDUINO, ANDROID_SIM, DIY_V1, ...) are excluded.
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Active-role allow-list:
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Excludes ROUTER_CLIENT (deprecated v2.3.15) and REPEATER (deprecated v2.7.11).
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"""
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from __future__ import annotations
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import argparse
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import datetime as _dt
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import json
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import math
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import pathlib
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import random
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import sys
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# --------------------------------------------------------------------------
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# Active-board allow-list (intersection of tier-1 variants + HardwareModel enum).
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# Refresh by running:
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# for f in $(find variants -name 'platformio.ini' | xargs grep -lE 'custom_meshtastic_support_level = 1'); do
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# grep custom_meshtastic_hw_model_slug $f | awk -F= '{print $2}' | tr -d ' ';
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# done | sort -u | comm -12 - <(python3 -c "from meshtastic.protobuf.mesh_pb2 import HardwareModel; print('\\n'.join(HardwareModel.keys()))" | sort)
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# --------------------------------------------------------------------------
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HW_MODEL_WEIGHTS: dict[str, float] = {
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"HELTEC_V3": 14.0,
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"T_DECK": 9.0,
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"HELTEC_V4": 8.0,
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"RAK4631": 8.0,
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"HELTEC_MESH_POCKET": 6.0,
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"TRACKER_T1000_E": 5.0,
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"HELTEC_MESH_NODE_T114": 5.0,
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"T_DECK_PRO": 5.0,
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"LILYGO_TBEAM_S3_CORE": 4.0,
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"HELTEC_WIRELESS_PAPER": 4.0,
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"HELTEC_WSL_V3": 3.0,
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"T_ECHO": 3.0,
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"HELTEC_WIRELESS_TRACKER": 3.0,
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"HELTEC_WIRELESS_TRACKER_V2": 2.0,
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"HELTEC_VISION_MASTER_E290": 2.0,
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"HELTEC_MESH_SOLAR": 2.0,
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"SEEED_WIO_TRACKER_L1": 2.0,
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"T_LORA_PAGER": 1.5,
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"HELTEC_VISION_MASTER_E213": 1.5,
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"T_ECHO_PLUS": 1.0,
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"MUZI_BASE": 1.0,
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"WISMESH_TAP_V2": 1.0,
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"THINKNODE_M2": 1.0,
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"THINKNODE_M5": 1.0,
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"TLORA_T3_S3": 1.0,
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# Long tail (uniform low weight across remaining tier-1 boards):
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"HELTEC_V4_R8": 0.3,
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"HELTEC_VISION_MASTER_T190": 0.3,
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"HELTEC_HT62": 0.3,
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"HELTEC_MESH_NODE_T096": 0.3,
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"M5STACK_C6L": 0.3,
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"MINI_EPAPER_S3": 0.3,
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"MUZI_R1_NEO": 0.3,
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"NOMADSTAR_METEOR_PRO": 0.3,
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"RAK3312": 0.3,
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"RAK3401": 0.3,
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"SEEED_SOLAR_NODE": 0.3,
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"SEEED_WIO_TRACKER_L1_EINK": 0.3,
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"SENSECAP_INDICATOR": 0.3,
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"TBEAM_1_WATT": 0.3,
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"THINKNODE_M1": 0.3,
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"THINKNODE_M3": 0.3,
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"THINKNODE_M6": 0.3,
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"T_ECHO_LITE": 0.3,
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"WISMESH_TAG": 0.3,
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"WISMESH_TAP": 0.3,
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"XIAO_NRF52_KIT": 0.3,
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"CROWPANEL": 0.3,
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}
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# Non-deprecated roles only.
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ROLE_WEIGHTS: dict[str, float] = {
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"CLIENT": 75.0,
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"CLIENT_MUTE": 5.0,
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"ROUTER": 7.0,
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"TRACKER": 3.0,
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"SENSOR": 2.0,
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"CLIENT_HIDDEN": 2.0,
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"ROUTER_LATE": 2.0,
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"CLIENT_BASE": 2.0,
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"TAK": 1.0,
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"TAK_TRACKER": 0.5,
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"LOST_AND_FOUND": 0.5,
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}
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# Name pools — 60 firsts × 60 lasts = 3600 combinations.
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FIRSTS = [
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"Quick", "Brave", "Silent", "Wild", "Lone", "Bright", "Red", "Blue",
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"Green", "Black", "White", "Iron", "Steel", "Copper", "Silver", "Gold",
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"Stone", "River", "Forest", "Mountain", "Canyon", "Desert", "Storm", "Sky",
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"Solar", "Lunar", "Dawn", "Dusk", "Misty", "Frosty", "Sunny", "Shady",
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"Happy", "Sleepy", "Drowsy", "Sneaky", "Sharp", "Smooth", "Rough", "Loud",
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"Soft", "Slow", "Fast", "Tall", "Short", "Old", "New", "Tiny",
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"Giant", "Hidden", "Lost", "Found", "Wandering", "Roving", "Drifting", "Floating",
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"Burning", "Frozen", "Whispering", "Howling",
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]
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LASTS = [
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"Phoenix", "Lion", "Bear", "Wolf", "Hawk", "Eagle", "Fox", "Lynx",
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"Cougar", "Coyote", "Raven", "Owl", "Crow", "Falcon", "Heron", "Crane",
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"Otter", "Badger", "Bison", "Elk", "Moose", "Stag", "Doe", "Hare",
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"Marmot", "Mole", "Beaver", "Squirrel", "Mustang", "Bronco", "Pony", "Colt",
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"Cobra", "Viper", "Mamba", "Adder", "Gecko", "Iguana", "Tortoise", "Turtle",
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"Salmon", "Trout", "Bass", "Pike", "Shark", "Whale", "Dolphin", "Seal",
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"Cactus", "Yucca", "Sage", "Juniper", "Pine", "Cedar", "Aspen", "Oak",
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"Bluff", "Mesa", "Arroyo", "Ridge",
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]
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# Brief callsign pool for licensed-looking suffixes.
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CALLSIGN_PREFIXES = ["KX", "WD", "N5", "KE", "AB", "W5", "K1", "KQ", "AE", "NM"]
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# Only emojis that fit in 4 UTF-8 bytes (no variation selectors). short_name's
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# nanopb max_size:5 (incl. NUL) limits content to 4 bytes. ❄️ / ☀️ would be
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# 6 bytes due to U+FE0F variation selector — explicitly excluded.
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EMOJI_SHORTNAMES = ["🦊", "🐺", "🦅", "🐢", "🌵", "🔥", "🌙",
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"🌊", "🗻", "🌲", "🦌", "🐝", "🦂", "🦉",
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"🦇", "🦋"]
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# --------------------------------------------------------------------------
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# Helpers
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# --------------------------------------------------------------------------
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NUM_RESERVED = 4 # firmware reserves 0..3 (per NodeDB constants)
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NUM_MAX_EXCLUSIVE = 0x80000000 # restrict to positive int32 range for readability
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def _weighted_choice(rng: random.Random, weights: dict[str, float]) -> str:
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"""Deterministic weighted pick. Uses sorted keys so dict order is fixed."""
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keys = sorted(weights.keys())
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totals = [weights[k] for k in keys]
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return rng.choices(keys, weights=totals, k=1)[0]
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def _gen_long_name(rng: random.Random, is_licensed: bool) -> str:
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base = f"{rng.choice(FIRSTS)} {rng.choice(LASTS)}"
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if is_licensed:
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prefix = rng.choice(CALLSIGN_PREFIXES)
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# Two trailing alpha chars after the digit; keep within 25 - len(base) - 1
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suffix = f" {prefix}{rng.randint(0,9)}{rng.choice('ABCDEFGHIJKLMNOPQRSTUVWXYZ')}{rng.choice('ABCDEFGHIJKLMNOPQRSTUVWXYZ')}"
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# nanopb max_size:25 means C string fits 24 bytes + NUL.
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if len(base) + len(suffix) <= 24:
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base = base + suffix
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# Hard cap to 24 chars (nanopb max_size:25 minus NUL).
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return base[:24]
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def _gen_short_name(rng: random.Random, long_name: str) -> str:
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# 10% emoji-only short_name
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if rng.random() < 0.10:
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return rng.choice(EMOJI_SHORTNAMES)
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first_char = long_name[0].upper() if long_name else "X"
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alphanums = "ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789"
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return first_char + "".join(rng.choices(alphanums, k=3))
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def _gen_hops_away(rng: random.Random) -> int:
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# Geometric-ish: 0→55%, 1→25%, 2→12%, 3→5%, 4→2%, 5+→1%
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r = rng.random()
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if r < 0.55:
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return 0
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if r < 0.80:
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return 1
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if r < 0.92:
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return 2
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if r < 0.97:
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return 3
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if r < 0.99:
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return 4
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return rng.randint(5, 7)
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def _gen_position(
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rng: random.Random,
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centroid_lat: float,
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centroid_lon: float,
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spread_km: float,
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last_heard_offset_sec: int,
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) -> dict:
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# 1 deg ≈ 111 km at the equator; we use this as a flat approximation.
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lat = centroid_lat + rng.gauss(0.0, spread_km / 111.0)
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lon = centroid_lon + rng.gauss(0.0, spread_km / 111.0)
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altitude = max(0, round(rng.gauss(1376.0, 250.0))) # T or C valley floor + relief
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# Position was reported up to 300s before last_heard.
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time_offset_sec = last_heard_offset_sec + rng.randint(0, 300)
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return {
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"latitude": round(lat, 6),
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"longitude": round(lon, 6),
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"altitude": altitude,
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"time_offset_sec": time_offset_sec,
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"location_source": "LOC_INTERNAL",
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}
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def _gen_telemetry(rng: random.Random) -> dict:
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# 5% plugged-in (battery_level == 101); rest uniform [10..100].
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if rng.random() < 0.05:
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battery_level = 101
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voltage = 4.20
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else:
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battery_level = rng.randint(10, 100)
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voltage = round(3.3 + (battery_level / 100.0) * 0.9, 3)
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# Beta distributions for low/right-skewed metrics; randomly draw via gammavariate.
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def _beta(a: float, b: float) -> float:
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x = rng.gammavariate(a, 1.0)
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y = rng.gammavariate(b, 1.0)
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return x / (x + y)
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channel_utilization = round(_beta(2.0, 15.0) * 100.0, 2)
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air_util_tx = round(_beta(1.5, 20.0) * 10.0, 3)
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uptime_seconds = int(rng.expovariate(1.0 / 86400.0))
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return {
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"battery_level": battery_level,
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"voltage": voltage,
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"channel_utilization": channel_utilization,
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"air_util_tx": air_util_tx,
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"uptime_seconds": uptime_seconds,
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}
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def _gen_environment(rng: random.Random) -> dict:
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return {
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"temperature": round(rng.gauss(22.0, 8.0), 2),
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"relative_humidity": round(min(100.0, max(0.0, rng.gauss(55.0, 20.0))), 2),
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"barometric_pressure": round(rng.gauss(1013.0, 8.0), 2),
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"iaq": int(min(500, max(0, round(rng.gauss(50.0, 30.0))))),
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}
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def _gen_status(rng: random.Random) -> dict:
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# `StatusMessage` (mesh.proto:1445) has a single free-form `string status`.
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# Most peers report a healthy short status; occasional alert string.
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healthy = ["OK", "online", "active", "running", "ready", "nominal"]
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alert = ["low-batt", "no-gps", "weak-signal", "rebooted", "offline-soon"]
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if rng.random() < 0.92:
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return {"status": rng.choice(healthy)}
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return {"status": rng.choice(alert)}
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def _gen_node(
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rng: random.Random,
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num: int,
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centroid_lat: float,
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centroid_lon: float,
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spread_km: float,
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coverage: dict[str, float],
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last_heard_mean_sec: int,
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last_heard_max_sec: int,
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) -> dict:
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is_licensed = rng.random() < 0.05
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long_name = _gen_long_name(rng, is_licensed)
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short_name = _gen_short_name(rng, long_name)
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hw_model = _weighted_choice(rng, HW_MODEL_WEIGHTS)
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role = _weighted_choice(rng, ROLE_WEIGHTS)
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has_public_key = rng.random() < 0.92
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public_key_hex = (
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"".join(f"{rng.randint(0,255):02x}" for _ in range(32)) if has_public_key else ""
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)
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snr = round(max(-20.0, min(12.0, rng.gauss(6.0, 4.0))), 2)
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channel = 0 if rng.random() < 0.90 else rng.randint(1, 7)
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hops_away = _gen_hops_away(rng)
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next_hop = rng.randint(0, 255) if hops_away > 0 else 0
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last_heard_offset_sec = int(min(rng.expovariate(1.0 / last_heard_mean_sec), last_heard_max_sec))
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bitfield = {
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"has_user": True,
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"is_favorite": rng.random() < 0.08,
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"is_muted": rng.random() < 0.03,
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"via_mqtt": rng.random() < 0.12,
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"is_ignored": rng.random() < 0.01,
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"is_licensed": is_licensed,
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"has_is_unmessagable": True,
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"is_unmessagable": rng.random() < 0.02,
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"is_key_manually_verified": rng.random() < 0.04,
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}
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node: dict = {
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"num": f"0x{num:08x}",
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"long_name": long_name,
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"short_name": short_name,
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"hw_model": hw_model,
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"role": role,
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"public_key_hex": public_key_hex,
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"snr": snr,
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"channel": channel,
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"hops_away": hops_away,
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"next_hop": next_hop,
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"last_heard_offset_sec": last_heard_offset_sec,
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"bitfield": bitfield,
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"position": (
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_gen_position(rng, centroid_lat, centroid_lon, spread_km, last_heard_offset_sec)
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if rng.random() < coverage["position"]
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else None
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),
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"telemetry": _gen_telemetry(rng) if rng.random() < coverage["telemetry"] else None,
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"environment": _gen_environment(rng) if rng.random() < coverage["environment"] else None,
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"status": _gen_status(rng) if rng.random() < coverage["status"] else None,
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}
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return node
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def _parse_my_node_num(s: str | None) -> int | None:
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if s is None:
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return None
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s = s.strip()
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if s.startswith("0x") or s.startswith("0X"):
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return int(s, 16)
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return int(s)
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def main(argv: list[str]) -> int:
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p = argparse.ArgumentParser(
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description="Deterministic JSONL seed for the fake NodeDB fixture.",
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formatter_class=argparse.ArgumentDefaultsHelpFormatter,
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)
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p.add_argument("--count", type=int, required=True, help="Number of fake nodes to emit.")
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p.add_argument("--seed", type=int, required=True, help="Deterministic seed.")
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p.add_argument("--out", required=True, help="Output JSONL path.")
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p.add_argument(
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"--centroid",
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default="33.1284,-107.2528",
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help="LAT,LON centroid (default: Truth or Consequences, NM).",
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)
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p.add_argument("--spread-km", type=float, default=60.0, help="Gaussian std-dev in km.")
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p.add_argument("--position-coverage", type=float, default=0.85)
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p.add_argument("--telemetry-coverage", type=float, default=0.70)
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p.add_argument("--environment-coverage", type=float, default=0.25)
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p.add_argument("--status-coverage", type=float, default=0.40)
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p.add_argument("--my-node-num", default=None, help="Exclude this NodeNum from generated set (hex or dec).")
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p.add_argument("--last-heard-mean-sec", type=int, default=3600)
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p.add_argument("--last-heard-max-sec", type=int, default=7 * 86400)
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args = p.parse_args(argv)
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if args.count <= 0:
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print("--count must be positive", file=sys.stderr)
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return 2
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try:
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centroid_lat, centroid_lon = (float(s) for s in args.centroid.split(","))
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except ValueError:
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print(f"--centroid must be LAT,LON; got {args.centroid!r}", file=sys.stderr)
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return 2
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|
||||
my_node_num = _parse_my_node_num(args.my_node_num)
|
||||
|
||||
rng = random.Random(args.seed)
|
||||
|
||||
# 1) Generate a unique deterministic set of NodeNums.
|
||||
nums: set[int] = set()
|
||||
while len(nums) < args.count:
|
||||
n = rng.randrange(NUM_RESERVED, NUM_MAX_EXCLUSIVE)
|
||||
if my_node_num is not None and n == my_node_num:
|
||||
continue
|
||||
nums.add(n)
|
||||
ordered_nums = sorted(nums) # sort to fix output order independent of set hash
|
||||
|
||||
# 2) Per-node generation (in num order, single RNG continues).
|
||||
coverage = {
|
||||
"position": args.position_coverage,
|
||||
"telemetry": args.telemetry_coverage,
|
||||
"environment": args.environment_coverage,
|
||||
"status": args.status_coverage,
|
||||
}
|
||||
nodes = [
|
||||
_gen_node(
|
||||
rng,
|
||||
n,
|
||||
centroid_lat,
|
||||
centroid_lon,
|
||||
args.spread_km,
|
||||
coverage,
|
||||
args.last_heard_mean_sec,
|
||||
args.last_heard_max_sec,
|
||||
)
|
||||
for n in ordered_nums
|
||||
]
|
||||
|
||||
# 3) Write JSONL.
|
||||
out_path = pathlib.Path(args.out)
|
||||
out_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
# `generated_at_iso` is informational; it does NOT affect determinism because
|
||||
# we derive it from the seed, not from wall clock. (Same seed -> same string.)
|
||||
generated_at = _dt.datetime.fromtimestamp(args.seed, tz=_dt.timezone.utc).isoformat().replace("+00:00", "Z")
|
||||
meta = {
|
||||
"_meta": {
|
||||
"version": 25,
|
||||
"seed": args.seed,
|
||||
"count": args.count,
|
||||
"centroid": [centroid_lat, centroid_lon],
|
||||
"spread_km": args.spread_km,
|
||||
"generated_at_iso": generated_at,
|
||||
"my_node_num_excluded": (None if my_node_num is None else f"0x{my_node_num:08x}"),
|
||||
"coverage": coverage,
|
||||
"last_heard_mean_sec": args.last_heard_mean_sec,
|
||||
"last_heard_max_sec": args.last_heard_max_sec,
|
||||
}
|
||||
}
|
||||
with out_path.open("w", encoding="utf-8") as f:
|
||||
# `ensure_ascii=False` so emoji short_names survive. `sort_keys=True` for
|
||||
# determinism (insertion order varies by Python version otherwise).
|
||||
f.write(json.dumps(meta, ensure_ascii=False, sort_keys=True) + "\n")
|
||||
for node in nodes:
|
||||
f.write(json.dumps(node, ensure_ascii=False, sort_keys=True) + "\n")
|
||||
|
||||
print(f"wrote {args.count} nodes to {out_path} ({out_path.stat().st_size} bytes)", file=sys.stderr)
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
sys.exit(main(sys.argv[1:]))
|
||||
Reference in New Issue
Block a user