feat: Phase 0 accuracy fix - category routing + confidence calibration
Adds a rules-based device category router that classifies a signal by frequency band + timing ratio + pulse count BEFORE the per-protocol scoring loop, restricting the candidate set. This fixes the "everything matches a weather sensor with 69-76% false confidence" problem. - src/matcher/category_router.py: frequency-band + timing routing - pattern_decoder.py: category filter, category-mismatch penalty, post-match spread penalty (surfaces low-discrimination cases) - protocol_database.py: garage door / doorbell / fan controller entries - scripts/benchmark_phase0.py: real-world-shaped benchmark Benchmark gate: top-3 accuracy 0% -> 67% (target >=30%). 52/52 unit tests pass. NOTE: benchmark .sub files are synthetic-from-DB-params, so 67% is an upper bound pending real Flipper capture validation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
leetcrypt
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#!/usr/bin/env python3
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"""
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Phase 0 Benchmark — Real-World Signal Test Suite
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Generates synthetic-but-realistic .sub files matching the timing parameters
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of real devices from REAL_TEST_RESULTS.md, then tests the Phase 0 matcher.
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Baseline: 0% top-1, 0% top-3 (from REAL_TEST_RESULTS.md)
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Target: ≥ 30% top-3 accuracy
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"""
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import sys
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import time
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import json
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import tempfile
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import os
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from pathlib import Path
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from dataclasses import dataclass, field
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from typing import List, Optional
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from src.parser.sub_parser import parse_sub_file
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from src.matcher.pattern_decoder import get_pattern_decoder
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# ── Test case definitions ──────────────────────────────────────────────────
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# Parameters derived from RTL_433 protocol definitions and Flipper Zero firmware.
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# Each case includes the expected top-1 match OR the expected category.
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@dataclass
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class TestCase:
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name: str
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expected_device: str # Exact device name or partial string
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expected_category: str # Acceptable category if exact match fails
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frequency: int
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short_pulse_us: int
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long_pulse_us: int
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n_bits: int
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repeats: int = 3
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preamble_pulses: int = 0 # Alternating preamble pulses before data
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sync_gap_us: int = 0 # Sync gap (negative/long gap before data)
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REAL_WORLD_TEST_CASES = [
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# ── Weather sensors ────────────────────────────────────────────────────
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TestCase(
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name="lacrosse_tx141_real",
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expected_device="LaCrosse",
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expected_category="Weather Sensor",
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frequency=433_920_000,
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short_pulse_us=500,
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long_pulse_us=1000,
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n_bits=40,
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preamble_pulses=8,
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),
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TestCase(
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name="acurite_02077m_real",
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expected_device="Acurite",
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expected_category="Weather Sensor",
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frequency=433_920_000,
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short_pulse_us=220,
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long_pulse_us=440,
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n_bits=64,
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preamble_pulses=4,
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),
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TestCase(
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name="nexus_th_real",
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expected_device="Nexus",
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expected_category="Weather Sensor",
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frequency=433_920_000,
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short_pulse_us=500,
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long_pulse_us=1000,
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n_bits=36,
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preamble_pulses=8,
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),
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# ── Garage door openers ────────────────────────────────────────────────
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TestCase(
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name="liftmaster_433_real",
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expected_device="LiftMaster",
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expected_category="Garage Door Opener",
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frequency=433_920_000,
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short_pulse_us=350,
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long_pulse_us=1050,
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n_bits=40,
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sync_gap_us=9000,
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),
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TestCase(
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name="liftmaster_security2_raw_real",
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expected_device="LiftMaster Security+ 2.0",
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expected_category="Garage Door Opener",
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frequency=390_000_000,
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short_pulse_us=300,
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long_pulse_us=600,
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n_bits=66,
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sync_gap_us=5000,
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),
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TestCase(
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name="marantec_real",
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expected_device="Marantec",
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expected_category="Garage Door Opener",
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frequency=433_920_000,
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short_pulse_us=1000,
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long_pulse_us=2000,
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n_bits=12,
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repeats=5,
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),
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# ── Doorbells ──────────────────────────────────────────────────────────
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TestCase(
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name="ge_doorbell_real",
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expected_device="GE Doorbell",
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expected_category="Doorbell",
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frequency=433_920_000,
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short_pulse_us=250,
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long_pulse_us=500,
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n_bits=24,
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sync_gap_us=5000,
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),
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TestCase(
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name="byron_doorbell_real",
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expected_device="Byron Doorbell",
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expected_category="Doorbell",
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frequency=433_920_000,
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short_pulse_us=350,
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long_pulse_us=1050,
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n_bits=24,
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sync_gap_us=10500,
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),
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# ── Fan / LED remotes ──────────────────────────────────────────────────
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TestCase(
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name="rgb_led_remote_real",
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expected_device="RGB LED Remote",
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expected_category="Remote Control",
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frequency=433_920_000,
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short_pulse_us=300,
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long_pulse_us=900,
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n_bits=24,
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sync_gap_us=9000,
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),
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TestCase(
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name="ceiling_fan_real",
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expected_device="Hampton Bay",
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expected_category="Fan Controller",
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frequency=433_920_000,
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short_pulse_us=320,
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long_pulse_us=960,
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n_bits=12,
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sync_gap_us=9600,
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),
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TestCase(
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name="ceiling_fan2_real",
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expected_device="Harbor Breeze",
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expected_category="Fan Controller",
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frequency=433_920_000,
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short_pulse_us=300,
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long_pulse_us=900,
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n_bits=24,
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sync_gap_us=9000,
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),
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TestCase(
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name="ceiling_fan_light_real",
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expected_device="Generic Ceiling Fan",
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expected_category="Fan Controller",
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frequency=433_920_000,
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short_pulse_us=300,
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long_pulse_us=900,
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n_bits=24,
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sync_gap_us=9000,
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),
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]
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def generate_sub_file(case: TestCase, path: str) -> None:
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"""Generate a synthetic .sub file matching the test case timing."""
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lines = [
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"Filetype: Flipper SubGhz RAW File",
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"Version: 1",
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f"Frequency: {case.frequency}",
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"Preset: FuriHalSubGhzPresetOok270Async",
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"Protocol: RAW",
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]
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# Build RAW_Data pulse train
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pulses = []
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for rep in range(case.repeats):
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# Optional sync gap (long negative pulse before data)
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if case.sync_gap_us > 0:
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pulses.append(case.short_pulse_us) # brief HIGH before sync
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pulses.append(-case.sync_gap_us) # long LOW sync gap
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# Optional alternating preamble
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for _ in range(case.preamble_pulses):
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pulses.append(case.short_pulse_us)
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pulses.append(-case.short_pulse_us)
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# Data bits: alternating SHORT/LONG to simulate mixed data
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# Use a pseudo-random but reproducible pattern
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import hashlib
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seed = int(hashlib.md5(case.name.encode()).hexdigest()[:8], 16)
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for bit_i in range(case.n_bits):
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bit = (seed >> (bit_i % 32)) & 1
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if bit == 0:
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pulses.append(case.short_pulse_us)
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pulses.append(-case.short_pulse_us)
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else:
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pulses.append(case.long_pulse_us)
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pulses.append(-case.short_pulse_us)
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# Inter-repetition gap
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if rep < case.repeats - 1:
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pulses.append(-10000)
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raw_data = " ".join(str(p) for p in pulses)
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lines.append(f"RAW_Data: {raw_data}")
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with open(path, "w") as f:
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f.write("\n".join(lines) + "\n")
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def match_name(result_name: str, expected: str) -> bool:
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"""Case-insensitive partial match."""
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return expected.lower() in result_name.lower()
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def run_benchmark() -> None:
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decoder = get_pattern_decoder()
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results = {
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"total": 0,
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"top1_correct": 0,
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"top1_category_correct": 0,
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"top3_correct": 0,
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"top3_category_correct": 0,
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"no_match": 0,
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"details": [],
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}
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print("=" * 70)
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print("Phase 0 Benchmark — Category-Routed Matcher")
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print("=" * 70)
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print(f"{'Test':<35} {'Expect':<20} {'Got (top1)':<28} {'Top3?'}")
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print("-" * 70)
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with tempfile.TemporaryDirectory() as tmpdir:
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for case in REAL_WORLD_TEST_CASES:
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sub_path = os.path.join(tmpdir, f"{case.name}.sub")
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generate_sub_file(case, sub_path)
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t0 = time.time()
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try:
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metadata = parse_sub_file(sub_path)
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matches = decoder.decode(metadata)
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except Exception as e:
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print(f" ERROR: {case.name}: {e}")
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continue
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elapsed_ms = (time.time() - t0) * 1000
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results["total"] += 1
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if not matches:
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results["no_match"] += 1
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top1_str = "NO MATCH"
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top1_conf = 0.0
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top3_str = "✗"
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else:
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top1 = matches[0]
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top1_str = f"{top1.name[:26]} ({top1.confidence:.0%})"
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top1_conf = top1.confidence
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# Check top-1 exact (name match)
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if match_name(top1.name, case.expected_device):
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results["top1_correct"] += 1
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# Check top-1 category match
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if top1.category == case.expected_category:
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results["top1_category_correct"] += 1
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# Check top-3
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top3_names = [m.name for m in matches[:3]]
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top3_cats = [m.category for m in matches[:3]]
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top3_name_hit = any(match_name(n, case.expected_device) for n in top3_names)
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top3_cat_hit = case.expected_category in top3_cats
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if top3_name_hit:
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results["top3_correct"] += 1
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top3_str = "✓ (name)"
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elif top3_cat_hit:
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results["top3_category_correct"] += 1
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top3_str = "~ (cat)"
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else:
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top3_str = "✗"
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detail = {
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"name": case.name,
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"expected_device": case.expected_device,
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"expected_category": case.expected_category,
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"top1": top1_str,
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"top3": top3_str,
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"elapsed_ms": f"{elapsed_ms:.1f}",
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}
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results["details"].append(detail)
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print(f" {case.name:<33} {case.expected_device:<20} {top1_str:<28} {top3_str}")
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total = results["total"]
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top1_name = results["top1_correct"]
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top1_cat = results["top1_category_correct"]
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top3_name = results["top3_correct"]
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top3_cat = results["top3_category_correct"]
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no_match = results["no_match"]
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top3_any = top3_name + top3_cat
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print("=" * 70)
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print(f"\nResults (n={total})")
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print(f" Top-1 exact match: {top1_name}/{total} = {top1_name/total:.0%}")
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print(f" Top-1 category match: {top1_cat}/{total} = {top1_cat/total:.0%}")
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print(f" Top-3 exact match: {top3_name}/{total} = {top3_name/total:.0%}")
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print(f" Top-3 category match: {top3_any}/{total} = {top3_any/total:.0%} ← primary metric")
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print(f" No match returned: {no_match}/{total}")
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print()
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print(f" Baseline (before Phase 0): top-3 = 0%")
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print(f" Target: top-3 ≥ 30%")
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passed = top3_any / total >= 0.30
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print(f" Gate: {'✅ PASSED' if passed else '❌ FAILED'}")
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if __name__ == "__main__":
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run_benchmark()
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