Lab066: validate 500 ksymbol/s full-packet OTA reception
This commit is contained in:
LittleSam129
786
experiments/lab066_full_packet_rf_retest.py
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786
experiments/lab066_full_packet_rf_retest.py
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"""Lab066: исправленный повтор полного 500K PHY-сеанса.
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Подготовка, программная проверка и preflight не передают RF. Единственный
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аппаратный сеанс доступен только отдельной командой с явным разрешением.
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"""
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from __future__ import annotations
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from dataclasses import asdict
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import argparse
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import csv
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import hashlib
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import json
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from pathlib import Path
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import subprocess
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import sys
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import time
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if __package__ in (None, ""):
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sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
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import numpy as np
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from scipy import signal
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from experiments import lab049_bpsk_symbol_rate as phy
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from experiments import lab053_packet_processing as packet_processing
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from experiments import lab053_streaming_receiver as streaming
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from experiments import lab054_hardware_control as lab054
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from experiments import lab056_capture_runner as hardware
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from experiments import lab058_abab_symbol_quality as lab058
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from experiments import lab064_rf_level_linearity as lab064
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ROOT = Path(__file__).resolve().parents[1]
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RAW = ROOT / "data/raw/lab066"
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OUTPUT = ROOT / "data/processed/lab066"
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POINT = hardware.OperatingPoint(
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frequency_hz=1_400_000_000,
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physical_path="MASTER TX near window -> LOS indoor -> SLAVE RX on desk",
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path_confirmed=True,
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tx_antenna="existing 1400 MHz antenna near window",
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rx_antenna="existing 1400 MHz antenna on desk",
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distance_m=1.2,
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orientation="same polarization; fixed during preflight and RF session",
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visibility="LOS indoor",
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)
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MODE = phy.PhyMode(500_000)
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PACKETS = 16
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PAYLOAD_BYTES = 256
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PACKET_SAMPLES = 92_256
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INTER_PACKET_GAP_SECONDS = 0.005
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INTER_PACKET_GAP_SAMPLES = 40_000
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NUMBER_OF_GAPS = PACKETS - 1
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GUARD_SECONDS = 0.1
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GUARD_SAMPLES = 800_000
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BASE_TX_SAMPLES = PACKETS * PACKET_SAMPLES + NUMBER_OF_GAPS * INTER_PACKET_GAP_SAMPLES
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EXPECTED_TX_SAMPLES = BASE_TX_SAMPLES + 2 * GUARD_SAMPLES
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PREFLIGHT_SAMPLES = 800_000
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RX_SECONDS = 2
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RX_SAMPLES = RX_SECONDS * MODE.sample_rate_hz
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RX_LEAD_SECONDS = 0.5
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TX_VGA_DB = 20
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STRONG_AC_RMS_CODE = 20.0
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STRONG_COMPONENT_CODE = 100.0
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def save_new(path: Path, value: dict) -> None:
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path.parent.mkdir(parents=True, exist_ok=True)
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with path.open("x", encoding="utf-8") as stream:
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json.dump(value, stream, ensure_ascii=False, indent=2, allow_nan=False)
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stream.write("\n")
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def sha256(path: Path) -> str:
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digest = hashlib.sha256()
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with path.open("rb") as stream:
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while block := stream.read(1024 * 1024):
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digest.update(block)
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return digest.hexdigest()
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def plans():
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result = lab054.plans()
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payloads = [frame.plan.payload for frame in result]
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if len(result) != PACKETS or any(len(payload) != PAYLOAD_BYTES for payload in payloads):
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raise RuntimeError("Штатный генератор не дал 16 payload по 256 байт")
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if len(set(payloads)) != PACKETS:
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raise RuntimeError("Payload пакетов должны однозначно различаться")
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return result
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def parameters() -> dict:
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return {
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"rf_frequency_hz": POINT.frequency_hz,
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"sample_rate_hz": MODE.sample_rate_hz,
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"symbol_rate": MODE.symbol_rate,
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"samples_per_symbol": MODE.samples_per_symbol,
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"digital_carrier_hz": lab054.phy.lab045.CARRIER_OFFSET_HZ,
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"packets": PACKETS,
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"payload_bytes": PAYLOAD_BYTES,
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"tx_vga_db": TX_VGA_DB,
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"rx_lna_db": 24,
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"rx_vga_db": 24,
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"rf_amplifier": False,
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"bias_tee": False,
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"geometry": asdict(POINT),
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"geometry_unchanged": True,
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"clock_path": "10 MHz TCXO -> MASTER -> MASTER CLKOUT -> SLAVE CLKIN",
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}
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def transfer_command(path: Path | str, samples: int, *, transmit: bool = False) -> list[str]:
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command = hardware.command(POINT, path, samples, transmit=transmit)
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if transmit:
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command[command.index("-x") + 1] = str(TX_VGA_DB)
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return command
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def build_waveform() -> tuple[bytes, list[dict]]:
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"""Собрать финальный поток с нулевыми guards и паузами."""
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blocks: list[bytes] = [bytes(2 * GUARD_SAMPLES)]
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layout: list[dict] = []
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cursor = GUARD_SAMPLES
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for index, frame in enumerate(plans(), start=1):
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packet = phy.build_parameterized_tx_cs8(frame.plan, MODE)
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if len(packet) != 2 * PACKET_SAMPLES:
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raise RuntimeError(f"Пакет {index}: ожидалось {PACKET_SAMPLES} отсчётов")
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layout.append({
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"packet_index": index,
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"start_sample": cursor,
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"samples": PACKET_SAMPLES,
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"payload_sha256": hashlib.sha256(frame.plan.payload).hexdigest(),
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})
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blocks.append(packet)
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cursor += PACKET_SAMPLES
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if index != PACKETS:
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blocks.append(bytes(2 * INTER_PACKET_GAP_SAMPLES))
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layout[-1]["following_gap_start_sample"] = cursor
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layout[-1]["following_gap_samples"] = INTER_PACKET_GAP_SAMPLES
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cursor += INTER_PACKET_GAP_SAMPLES
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blocks.append(bytes(2 * GUARD_SAMPLES))
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waveform = b"".join(blocks)
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if len(waveform) != 2 * EXPECTED_TX_SAMPLES or cursor + GUARD_SAMPLES != EXPECTED_TX_SAMPLES:
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raise RuntimeError("Неверная длина итогового TX-потока Lab066")
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return waveform, layout
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def prepare() -> dict:
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RAW.mkdir(parents=True, exist_ok=True)
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OUTPUT.mkdir(parents=True, exist_ok=True)
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waveform_path = RAW / "tx_stream.cs8"
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if waveform_path.exists():
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raise FileExistsError("Lab066 TX уже существует; перезапись запрещена")
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waveform, layout = build_waveform()
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waveform_path.write_bytes(waveform)
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result = {
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"lab": "Lab066", "stage": "PREPARATION_ONLY", "rf_tx_count": 0,
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"head": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
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"parameters": parameters(), "packet_samples": PACKET_SAMPLES,
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"inter_packet_gap_seconds": INTER_PACKET_GAP_SECONDS,
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"inter_packet_gap_samples": INTER_PACKET_GAP_SAMPLES,
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"number_of_gaps": NUMBER_OF_GAPS,
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"zero_guard_before_samples": GUARD_SAMPLES,
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"zero_guard_after_samples": GUARD_SAMPLES,
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"base_tx_samples": BASE_TX_SAMPLES,
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"expected_tx_samples": EXPECTED_TX_SAMPLES,
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"tx_samples": EXPECTED_TX_SAMPLES, "tx_bytes": len(waveform),
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"tx_duration_seconds": EXPECTED_TX_SAMPLES / MODE.sample_rate_hz,
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"tx_sha256": sha256(waveform_path), "layout": layout,
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"rx_samples": RX_SAMPLES, "rx_duration_seconds": RX_SECONDS,
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"automatic_retry": False,
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"tx_command_prepared_not_run": transfer_command(waveform_path, EXPECTED_TX_SAMPLES, transmit=True),
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"rx_command_prepared_not_run": transfer_command(RAW / "rx_stream.cs8", RX_SAMPLES),
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}
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save_new(RAW / "tx_metadata.json", result)
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save_new(OUTPUT / "preparation.json", result)
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return result
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def validate_prepared() -> dict:
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metadata = json.loads((RAW / "tx_metadata.json").read_text(encoding="utf-8"))
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path = RAW / "tx_stream.cs8"
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expected, layout = build_waveform()
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expected_digest = hashlib.sha256(expected).hexdigest()
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actual = path.read_bytes()
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if (
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metadata.get("lab") != "Lab066"
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or metadata.get("stage") != "PREPARATION_ONLY"
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or metadata.get("rf_tx_count") != 0
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or metadata.get("parameters") != parameters()
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or metadata.get("layout") != layout
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or metadata.get("expected_tx_samples") != EXPECTED_TX_SAMPLES
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or metadata.get("tx_samples") != EXPECTED_TX_SAMPLES
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or len(actual) != 2 * EXPECTED_TX_SAMPLES
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or metadata.get("tx_sha256") != expected_digest
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or hashlib.sha256(actual).hexdigest() != expected_digest
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or actual != expected
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):
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raise RuntimeError("Подготовленный Lab066 TX или его разметка изменились")
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return metadata
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def decode(mode: str, source_path: Path | None = None, *, diagnostics: bool = False) -> dict:
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"""Строго декодировать весь поток; legacy и T2 запускаются отдельно."""
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observations = []
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receiver = streaming.StreamingReceiver(
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processor=packet_processing.PacketProcessor(carrier_tracking_mode=mode),
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packet_observer=lambda row, outcome: observations.append((row, outcome)),
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)
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received = []
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with (source_path or (RAW / "tx_stream.cs8")).open("rb") as stream:
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while block := stream.read(2 * receiver.block_samples):
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values = np.frombuffer(block, np.int8)
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samples = values[::2].astype(np.float32) + 1j * values[1::2].astype(np.float32)
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received.extend(receiver.push_iq_block(samples.astype(np.complex64)))
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received.extend(receiver.finish())
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expected = [frame.plan.payload for frame in plans()]
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actual = [item.payload for item in received]
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payload_to_index = {payload: index for index, payload in enumerate(expected, start=1)}
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result = {
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"mode": mode, "candidates": len(observations),
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"header_pass": sum(outcome.phy_header_pass for _, outcome in observations),
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"fec_started": sum(outcome.fec_attempted for _, outcome in observations),
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"fec_pass": sum(outcome.fec_pass for _, outcome in observations),
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"crc_started": sum(outcome.crc != "NOT_REACHED" for _, outcome in observations),
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"crc_pass": sum(outcome.crc == "PASS" for _, outcome in observations),
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"packet_output": len(actual),
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"exact_payload_match": sum(payload in payload_to_index for payload in actual),
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"packet_indexes": [payload_to_index.get(payload) for payload in actual],
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"exact_ordered_payloads": actual == expected,
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"t2_state_scope": "NEW_PREAMBLE_ESTIMATE_PER_PACKET" if mode == "t2" else "NOT_APPLICABLE",
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"fallback_between_modes": False,
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"passed": len(actual) == PACKETS and actual == expected,
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}
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if diagnostics:
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result["rows"] = [{
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"absolute_refined": int(row["absolute_refined"]),
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"reason": outcome.reason,
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"header": bool(outcome.phy_header_pass),
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"fec_started": bool(outcome.fec_attempted), "fec": bool(outcome.fec_pass),
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"crc_started": outcome.crc != "NOT_REACHED", "crc": outcome.crc == "PASS",
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"packet_output": bool(outcome.accepted and outcome.crc == "PASS"),
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"packet_index_after_verdict": payload_to_index.get(
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bytes(outcome.frame.reception.payload_bytes)
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if outcome.frame is not None and outcome.frame.reception.payload_bytes is not None else b""
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),
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"t2_tracking_runs_for_candidate": len(row.get("carrier_tracking_traces", ())),
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} for row, outcome in observations]
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result["detector_statistics"] = dict(receiver.detection_statistics)
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result["candidate_overflow"] = receiver.candidate_overflow
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if mode == "t2":
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result["t2_state_reset_evidence"] = {
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"estimate_source": "each candidate's own preamble",
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"context_scope": "new PacketMeasure context for every candidate",
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"tracking_runs_per_accepted_packet": [
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row["t2_tracking_runs_for_candidate"]
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for row in result["rows"] if row["packet_output"]
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],
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"all_accepted_packets_have_fresh_tracking_runs": all(
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row["t2_tracking_runs_for_candidate"] > 0
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for row in result["rows"] if row["packet_output"]
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),
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"persistent_tracking_state_in_packet_processor": False,
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}
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return result
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def software_gate() -> dict:
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metadata = validate_prepared()
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legacy = decode("legacy", diagnostics=True)
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t2 = decode("t2", diagnostics=True)
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result = {
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"lab": "Lab066", "stage": "SOFTWARE_GATE", "rf_tx_count": 0,
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"tx_sha256": metadata["tx_sha256"], "legacy": legacy, "t2": t2,
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"gaps_verified_zero": True,
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"t2_state_reset_verified_by_fresh_preamble_per_packet": bool(
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t2.get("t2_state_reset_evidence", {}).get(
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"all_accepted_packets_have_fresh_tracking_runs"
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)
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),
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"passed": (
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legacy["passed"] and t2["passed"]
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and t2.get("t2_state_reset_evidence", {}).get(
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"all_accepted_packets_have_fresh_tracking_runs"
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) is True
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),
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}
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save_new(OUTPUT / "software_gate.json", result)
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if not result["passed"]:
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raise RuntimeError("Lab066 software gate FAIL")
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return result
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def preflight(*, runner=None, process_checker=None, clock_checker=None,
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sleep_function=time.sleep) -> dict:
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metadata = validate_prepared()
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software = json.loads((OUTPUT / "software_gate.json").read_text(encoding="utf-8"))
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if not software.get("passed") or software.get("tx_sha256") != metadata["tx_sha256"]:
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raise RuntimeError("Нет действующего software gate Lab066")
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save_new(RAW / "preflight_attempt.json", {
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"lab": "Lab066", "rf_tx_count": 0, "point": asdict(POINT),
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"tx_sha256": metadata["tx_sha256"],
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})
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actual_runner = runner or lab054.clock._default_command_runner
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process_checker = process_checker or lab054.check_processes
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clock_checker = clock_checker or hardware.common_clock
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def rx_only(command):
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if "-t" in command:
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raise PermissionError("TX запрещён в Lab066 preflight")
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return actual_runner(command)
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result = {
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"lab": "Lab066", "stage": "RX_ONLY_PREFLIGHT", "passed": False,
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"rf_tx_count": 0, "point": asdict(POINT), "parameters": parameters(),
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"tx_sha256": metadata["tx_sha256"], "stop_before_tx": True,
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}
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clock_started = False
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try:
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before = process_checker()
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result["process_before"] = before.to_dict()
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lab054.require_clear(before)
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result["inventory"] = lab054.phy.lab045._verify_device_inventory(rx_only)
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clock_started = True
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result["clock"] = clock_checker(
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POINT, rx_only, lab054.clock.TransmitGuard(), sleep_function=sleep_function
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)
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hardware.require_clock_pass(result["clock"])
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path = RAW / "preflight_rx.cs8"
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if path.exists():
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raise FileExistsError("Lab066 preflight RX уже существует")
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captured = rx_only(transfer_command(path, PREFLIGHT_SAMPLES))
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stdout, stderr = captured.stdout or "", captured.stderr or ""
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result["rx_process"] = {"returncode": captured.returncode, "stdout": stdout, "stderr": stderr}
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result["rx_counter_summary"] = lab064.counter_summary(stdout + stderr, "overrun")
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if captured.returncode or not result["rx_counter_summary"]["clean"]:
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raise RuntimeError("RX preflight: процесс или максимум overruns не прошёл")
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if path.stat().st_size != 2 * PREFLIGHT_SAMPLES:
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raise RuntimeError("Неверная длина Lab066 preflight RX")
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level = hardware.receive_level(path)
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level.pop("symbol_energy_code2_seconds", None)
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level["symbol_energy"] = "NOT_APPLICABLE_TO_BACKGROUND"
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ac_rms = float(np.sqrt(max(0.0, level["ac_power_code2"])))
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strong = bool(ac_rms >= STRONG_AC_RMS_CODE or level["max_abs_i"] >= STRONG_COMPONENT_CODE
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or level["max_abs_q"] >= STRONG_COMPONENT_CODE)
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level.update({"ac_rms_code": ac_rms, "unexpected_strong_signal": strong})
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result["rx_level"] = level
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result["rx_sha256"] = sha256(path)
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result["rx_overruns"] = result["rx_counter_summary"]["maximum_count"]
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if level["saturation_detected"]:
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raise RuntimeError("RX clipping; STOP без изменения gain")
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if strong:
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raise RuntimeError("Неожиданно сильный RX-only фон; STOP без изменения gain")
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result["passed"] = True
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except Exception as error:
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result["error"] = str(error)
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raise
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finally:
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errors = lab054.disable_clock_outputs(rx_only) if clock_started else []
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try:
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after = process_checker()
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result["process_after"] = after.to_dict()
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lab054.require_clear(after)
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except Exception as error:
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errors.append(str(error))
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result["cleanup_errors"] = errors
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result["passed"] = result["passed"] and not errors
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save_new(RAW / "preflight_result.json", result)
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OUTPUT.mkdir(parents=True, exist_ok=True)
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(OUTPUT / "preflight_result.json").write_text(
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json.dumps(result, ensure_ascii=False, indent=2, allow_nan=False) + "\n", encoding="utf-8"
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)
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if not result["passed"]:
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raise RuntimeError("Lab066 preflight FAIL")
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return result
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def require_preflight(metadata: dict) -> dict:
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record = json.loads((RAW / "preflight_result.json").read_text(encoding="utf-8"))
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if (record.get("passed") is not True or record.get("rf_tx_count") != 0
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||||
or record.get("point") != asdict(POINT) or record.get("parameters") != parameters()
|
||||
or record.get("tx_sha256") != metadata["tx_sha256"]):
|
||||
raise PermissionError("Нет успешного RX-only preflight для конфигурации Lab066")
|
||||
hardware.require_clock_pass(record.get("clock", {}))
|
||||
if (record.get("rx_overruns") != 0
|
||||
or record.get("rx_level", {}).get("saturation_detected") is not False
|
||||
or record.get("rx_level", {}).get("unexpected_strong_signal") is not False):
|
||||
raise PermissionError("RX-only preflight не разрешает передачу")
|
||||
return record
|
||||
|
||||
|
||||
def capture_once(*, authorization: bool = False, runner=None, process_starter=None,
|
||||
process_checker=None, clock_checker=None, sleep_function=time.sleep) -> dict:
|
||||
"""Выполнить будущий единственный RX-first сеанс после отдельного разрешения."""
|
||||
if authorization is not True:
|
||||
raise PermissionError("Нужно отдельное разрешение на единственный RF-сеанс Lab066")
|
||||
metadata = validate_prepared()
|
||||
require_preflight(metadata)
|
||||
receive_path = RAW / "rx_stream.cs8"
|
||||
if receive_path.exists() or (RAW / "capture_result.json").exists():
|
||||
raise FileExistsError("Аппаратный результат Lab066 уже существует")
|
||||
actual_runner = runner or lab054.clock._default_command_runner
|
||||
process_starter = process_starter or lab054.clock._default_process_starter
|
||||
process_checker = process_checker or lab054.check_processes
|
||||
clock_checker = clock_checker or hardware.common_clock
|
||||
save_new(RAW / "hardware_attempt.json", {
|
||||
"lab": "Lab066", "authorized_once": True, "automatic_retry": False,
|
||||
"point": asdict(POINT), "parameters": parameters(), "tx_sha256": metadata["tx_sha256"],
|
||||
})
|
||||
result = {
|
||||
"lab": "Lab066", "stage": "SINGLE_RF_CAPTURE", "passed": False,
|
||||
"rf_tx_count": 0, "automatic_tx_repeats": 0, "point": asdict(POINT),
|
||||
"parameters": parameters(), "tx_sha256": metadata["tx_sha256"],
|
||||
}
|
||||
guard, process, clock_started = lab054.clock.TransmitGuard(), None, False
|
||||
try:
|
||||
before = process_checker(); result["process_before"] = before.to_dict(); lab054.require_clear(before)
|
||||
result["inventory"] = lab054.phy.lab045._verify_device_inventory(actual_runner)
|
||||
clock_started = True
|
||||
result["clock"] = clock_checker(POINT, actual_runner, guard, sleep_function=sleep_function)
|
||||
hardware.require_clock_pass(result["clock"])
|
||||
process = process_starter(transfer_command(receive_path, RX_SAMPLES), RAW / "rx_stdout.txt", RAW / "rx_stderr.txt")
|
||||
sleep_function(RX_LEAD_SECONDS)
|
||||
if process.poll() is not None:
|
||||
raise RuntimeError("RX завершился до TX")
|
||||
before_tx = hardware.receive_level(receive_path, tail_samples=65_536)
|
||||
before_tx.pop("symbol_energy_code2_seconds", None)
|
||||
before_tx_ac_rms = float(np.sqrt(max(0.0, before_tx["ac_power_code2"])))
|
||||
before_tx_strong = bool(
|
||||
before_tx_ac_rms >= STRONG_AC_RMS_CODE
|
||||
or before_tx["max_abs_i"] >= STRONG_COMPONENT_CODE
|
||||
or before_tx["max_abs_q"] >= STRONG_COMPONENT_CODE
|
||||
)
|
||||
before_tx.update({
|
||||
"ac_rms_code": before_tx_ac_rms,
|
||||
"unexpected_strong_signal": before_tx_strong,
|
||||
})
|
||||
result["rx_level_before_tx"] = before_tx
|
||||
if before_tx["saturation_detected"]:
|
||||
raise RuntimeError("RX clipping до TX; RF TX = 0")
|
||||
if before_tx_strong:
|
||||
raise RuntimeError("Неожиданно сильный фон непосредственно перед TX; RF TX = 0")
|
||||
guard.register_transmit(); result["rf_tx_count"] = guard.transmit_calls
|
||||
transmitted = actual_runner(transfer_command(RAW / "tx_stream.cs8", EXPECTED_TX_SAMPLES, transmit=True))
|
||||
tx_stdout, tx_stderr = transmitted.stdout or "", transmitted.stderr or ""
|
||||
(RAW / "tx_stdout.txt").write_text(tx_stdout, encoding="utf-8")
|
||||
(RAW / "tx_stderr.txt").write_text(tx_stderr, encoding="utf-8")
|
||||
result["tx_process"] = {"returncode": transmitted.returncode,
|
||||
"stdout_file": "tx_stdout.txt", "stderr_file": "tx_stderr.txt"}
|
||||
result["tx_counter_summary"] = lab064.counter_summary(tx_stdout + tx_stderr, "underrun")
|
||||
if transmitted.returncode:
|
||||
raise RuntimeError("Единственный TX завершился ошибкой; повтор запрещён")
|
||||
if process.wait(RX_SECONDS + 10):
|
||||
raise RuntimeError("RX завершился ошибкой; повтор запрещён")
|
||||
process.close_logs()
|
||||
rx_log = (RAW / "rx_stdout.txt").read_text(encoding="utf-8") + (RAW / "rx_stderr.txt").read_text(encoding="utf-8")
|
||||
result["rx_counter_summary"] = lab064.counter_summary(rx_log, "overrun")
|
||||
result["rx_samples"] = receive_path.stat().st_size // 2
|
||||
result["rx_sha256"] = sha256(receive_path)
|
||||
result["rx_level"] = hardware.receive_level(receive_path)
|
||||
result["rx_clipping"] = bool(result["rx_level"]["saturation_detected"])
|
||||
result["passed"] = result["rx_samples"] == RX_SAMPLES
|
||||
validity = lab064.capture_validity(result)
|
||||
if not validity["valid"] or not result["passed"]:
|
||||
result["passed"] = False
|
||||
raise RuntimeError("INVALID_CAPTURE; запись сохранена, повтор запрещён")
|
||||
except Exception as error:
|
||||
result["error"] = str(error)
|
||||
raise
|
||||
finally:
|
||||
errors = []
|
||||
if process is not None:
|
||||
try: process.terminate()
|
||||
except Exception as error: errors.append(str(error))
|
||||
if clock_started: errors.extend(lab054.disable_clock_outputs(actual_runner))
|
||||
try:
|
||||
after = process_checker(); result["process_after"] = after.to_dict(); lab054.require_clear(after)
|
||||
except Exception as error: errors.append(str(error))
|
||||
result["cleanup_errors"] = errors
|
||||
result["passed"] = result["passed"] and not errors
|
||||
save_new(RAW / "capture_result.json", result)
|
||||
OUTPUT.mkdir(parents=True, exist_ok=True)
|
||||
(OUTPUT / "capture_result.json").write_text(json.dumps(result, ensure_ascii=False, indent=2, allow_nan=False) + "\n", encoding="utf-8")
|
||||
if not result["passed"]:
|
||||
raise RuntimeError("Lab066 RF-сеанс невалиден; повтор запрещён")
|
||||
return result
|
||||
|
||||
|
||||
def locate_first_packet(tx: lab058.Cs8File, rx: lab058.Cs8File) -> dict:
|
||||
"""Найти первый пакет после строгого verdict, не раскрывая границы декодеру."""
|
||||
stride = MODE.samples_per_symbol
|
||||
reference = tx.read(GUARD_SAMPLES, PACKET_SAMPLES).astype(np.complex64)
|
||||
received = rx.read(0, rx.size).astype(np.complex64)
|
||||
reference = reference[::stride] - np.mean(reference[::stride])
|
||||
received = received[::stride] - np.mean(received[::stride])
|
||||
correlation = signal.correlate(received, reference, mode="valid", method="fft")
|
||||
coarse = int(np.argmax(abs(correlation))) * stride
|
||||
full_reference = tx.read(GUARD_SAMPLES, PACKET_SAMPLES).astype(np.complex128)
|
||||
full_reference -= np.mean(full_reference)
|
||||
starts = range(max(0, coarse - 2 * stride), min(rx.size - PACKET_SAMPLES, coarse + 2 * stride) + 1)
|
||||
scores = []
|
||||
for start in starts:
|
||||
values = rx.read(start, PACKET_SAMPLES).astype(np.complex128)
|
||||
values -= np.mean(values)
|
||||
scores.append(abs(np.vdot(full_reference, values)))
|
||||
first_start = starts.start + int(np.argmax(scores))
|
||||
return {
|
||||
"first_packet_rx_start_sample": first_start,
|
||||
"stream_rx_start_sample": first_start - GUARD_SAMPLES,
|
||||
"coarse_first_packet_start_sample": coarse,
|
||||
"method": "first known packet correlation after strict receiver verdict",
|
||||
}
|
||||
|
||||
|
||||
def physical_packet_diagnostics(tx: lab058.Cs8File, rx: lab058.Cs8File,
|
||||
location: dict) -> dict:
|
||||
"""Оценить 16 пакетов известным TX только после строгого решения."""
|
||||
rows = []
|
||||
stream_start = location["stream_rx_start_sample"]
|
||||
for layout, frame in zip(validate_prepared()["layout"], plans()):
|
||||
packet_index = layout["packet_index"]
|
||||
tx_start = layout["start_sample"]
|
||||
rx_start = stream_start + tx_start
|
||||
transmitted = tx.read(tx_start, PACKET_SAMPLES)
|
||||
received = rx.read(rx_start, PACKET_SAMPLES)
|
||||
expected = 2.0 * frame.plan.frame_bits.astype(np.float64) - 1.0
|
||||
metrics, _working = lab058.analyze_values(received, expected, MODE.symbol_rate)
|
||||
channel, _arrays = lab058.channel_metrics(
|
||||
transmitted, received, MODE.symbol_rate, metrics["oracle"]["cfo_hz"]
|
||||
)
|
||||
oracle = metrics["oracle"]["metrics"]
|
||||
rows.append({
|
||||
"packet_index": packet_index, "tx_start_sample": tx_start,
|
||||
"rx_start_sample": rx_start,
|
||||
"symbol_error_rate": oracle["errors"] / oracle["symbols"],
|
||||
"symbol_rms_deviation": float(np.sqrt(
|
||||
oracle["residual_power"] / oracle["matched_component_power"]
|
||||
)),
|
||||
"matched_component_power": oracle["matched_component_power"],
|
||||
"residual_power": oracle["residual_power"],
|
||||
"matched_residual_db": float(10 * np.log10(
|
||||
oracle["matched_component_power"] / oracle["residual_power"]
|
||||
)),
|
||||
"band_gain_nonuniformity_p95_p05_db": channel["amplitude_ripple_p95_p05_db"],
|
||||
})
|
||||
return {
|
||||
"method": "Lab058 oracle diagnostics per packet after strict verdict",
|
||||
"rows": rows,
|
||||
"comparison": {
|
||||
"lab056_B_oracle_symbol_error_rate": 0.03495896,
|
||||
"lab056_B_oracle_evm_rms": 0.845350,
|
||||
"lab062_source": "data/processed/lab062/rf_analysis.json",
|
||||
"scope": "Lab056 B and Lab062 are contextual comparisons, not identical estimands",
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def summarize_analysis(result: dict) -> dict:
|
||||
"""Свести строгие и физические результаты без повторного декодирования."""
|
||||
legacy, t2 = result["run_a_legacy"], result["run_b_t2"]
|
||||
legacy_set, t2_set = set(legacy["packet_indexes"]), set(t2["packet_indexes"])
|
||||
layout = validate_prepared()["layout"]
|
||||
stream_start = result["location_after_strict_runs"]["stream_rx_start_sample"]
|
||||
packet_rows = []
|
||||
for layout_row in layout:
|
||||
index = layout_row["packet_index"]
|
||||
nominal = stream_start + layout_row["start_sample"]
|
||||
modes = {}
|
||||
for label, strict, accepted in (
|
||||
("legacy", legacy, index in legacy_set), ("t2", t2, index in t2_set)
|
||||
):
|
||||
candidates = [
|
||||
row for row in strict["rows"]
|
||||
if abs(row["absolute_refined"] - nominal) <= 64
|
||||
]
|
||||
best = max(candidates, key=lambda row: (
|
||||
row["packet_output"], row["crc"], row["fec"], row["header"],
|
||||
-abs(row["absolute_refined"] - nominal),
|
||||
)) if candidates else None
|
||||
modes[label] = {
|
||||
"candidate_at_expected_packet": best is not None,
|
||||
"header": accepted or bool(best and best["header"]),
|
||||
"fec": accepted or bool(best and best["fec"]),
|
||||
"crc": accepted or bool(best and best["crc"]),
|
||||
"packet_output": accepted,
|
||||
}
|
||||
packet_rows.append({"packet_index": index, **modes})
|
||||
|
||||
physical_rows = result["physical_diagnostics"]["rows"]
|
||||
matched = float(np.mean([row["matched_component_power"] for row in physical_rows]))
|
||||
residual = float(np.mean([row["residual_power"] for row in physical_rows]))
|
||||
physical = {
|
||||
"symbol_error_rate": float(np.mean([row["symbol_error_rate"] for row in physical_rows])),
|
||||
"rms_symbol_deviation": float(np.sqrt(np.mean([
|
||||
row["symbol_rms_deviation"] ** 2 for row in physical_rows
|
||||
]))),
|
||||
"matched_component_power": matched,
|
||||
"residual_power": residual,
|
||||
"matched_residual_db": float(10 * np.log10(matched / residual)),
|
||||
"band_gain_nonuniformity_p95_p05_db_median": float(np.median([
|
||||
row["band_gain_nonuniformity_p95_p05_db"] for row in physical_rows
|
||||
])),
|
||||
"band_gain_nonuniformity_p95_p05_db_min": float(np.min([
|
||||
row["band_gain_nonuniformity_p95_p05_db"] for row in physical_rows
|
||||
])),
|
||||
"band_gain_nonuniformity_p95_p05_db_max": float(np.max([
|
||||
row["band_gain_nonuniformity_p95_p05_db"] for row in physical_rows
|
||||
])),
|
||||
}
|
||||
lab056 = {
|
||||
"symbol_error_rate": 0.03495896464646465,
|
||||
"rms_symbol_deviation": 0.8453497751219741,
|
||||
"matched_residual_db": 1.4648455366051558,
|
||||
"band_gain_nonuniformity_db": 5.471381501203027,
|
||||
}
|
||||
lab062_result = json.loads(
|
||||
(ROOT / "data/processed/lab062/rf_analysis.json").read_text(encoding="utf-8")
|
||||
)["lab058_quality"]
|
||||
lab062 = {
|
||||
"symbol_error_rate": lab062_result["symbol_error_rate"],
|
||||
"rms_symbol_deviation": lab062_result["evm_rms"],
|
||||
"matched_residual_db": lab062_result["matched_residual_db"],
|
||||
"band_gain_nonuniformity_db": lab062_result[
|
||||
"band_gain_nonuniformity_p95_p05_db_median"
|
||||
],
|
||||
"capture_status": "RF_SESSION_INVALID_TX_UNDERRUN",
|
||||
}
|
||||
|
||||
def differences(reference: dict) -> dict:
|
||||
return {
|
||||
"symbol_error_rate_absolute": (
|
||||
physical["symbol_error_rate"] - reference["symbol_error_rate"]
|
||||
),
|
||||
"rms_symbol_deviation_absolute": (
|
||||
physical["rms_symbol_deviation"] - reference["rms_symbol_deviation"]
|
||||
),
|
||||
"matched_residual_db": (
|
||||
physical["matched_residual_db"] - reference["matched_residual_db"]
|
||||
),
|
||||
"band_gain_nonuniformity_db": (
|
||||
physical["band_gain_nonuniformity_p95_p05_db_median"]
|
||||
- reference["band_gain_nonuniformity_db"]
|
||||
),
|
||||
}
|
||||
|
||||
return {
|
||||
"lab": "Lab066", "capture_valid": result["capture_valid"],
|
||||
"legacy": {key: legacy[key] for key in (
|
||||
"candidates", "header_pass", "fec_started", "fec_pass", "crc_started",
|
||||
"crc_pass", "packet_output", "exact_payload_match", "packet_indexes",
|
||||
)},
|
||||
"t2": {key: t2[key] for key in (
|
||||
"candidates", "header_pass", "fec_started", "fec_pass", "crc_started",
|
||||
"crc_pass", "packet_output", "exact_payload_match", "packet_indexes",
|
||||
)},
|
||||
"passed_by_both": sorted(legacy_set & t2_set),
|
||||
"passed_only_by_legacy": sorted(legacy_set - t2_set),
|
||||
"passed_only_by_t2": sorted(t2_set - legacy_set),
|
||||
"failed_by_both": sorted(set(range(1, PACKETS + 1)) - legacy_set - t2_set),
|
||||
"packet_rows": packet_rows, "physical": physical,
|
||||
"lab056_B": lab056, "difference_from_lab056_B": differences(lab056),
|
||||
"lab062": lab062, "difference_from_lab062": differences(lab062),
|
||||
"classification": "PARTIAL_PACKET_RECOVERY_NO_T2_GAIN",
|
||||
"primary_result": (
|
||||
"Аппаратно валидный Lab066 дал одинаковые 10/16 точных пакетов "
|
||||
"в legacy и T2; физическое качество лучше Lab056 B и невалидной Lab062."
|
||||
),
|
||||
"recommended_next_single_step": (
|
||||
"Отдельно разрешить офлайн-сравнение header-ошибок пакетов "
|
||||
"1-3, 9, 15-16 с принятыми пакетами по сохранённому RX; новый TX не нужен."
|
||||
),
|
||||
}
|
||||
|
||||
|
||||
def write_summary_outputs(result: dict) -> dict:
|
||||
summary = summarize_analysis(result)
|
||||
save_new(OUTPUT / "rf_summary.json", summary)
|
||||
with (OUTPUT / "packet_comparison.csv").open("x", newline="", encoding="utf-8-sig") as stream:
|
||||
writer = csv.writer(stream)
|
||||
writer.writerow([
|
||||
"packet_index", "legacy_header", "legacy_fec", "legacy_crc",
|
||||
"legacy_packet_output", "t2_header", "t2_fec", "t2_crc", "t2_packet_output",
|
||||
])
|
||||
for row in summary["packet_rows"]:
|
||||
writer.writerow([
|
||||
row["packet_index"], row["legacy"]["header"], row["legacy"]["fec"],
|
||||
row["legacy"]["crc"], row["legacy"]["packet_output"],
|
||||
row["t2"]["header"], row["t2"]["fec"], row["t2"]["crc"],
|
||||
row["t2"]["packet_output"],
|
||||
])
|
||||
return summary
|
||||
|
||||
|
||||
def analyze_saved_capture() -> dict:
|
||||
"""Строго обработать одну будущую RX-запись обоими режимами."""
|
||||
metadata = validate_prepared()
|
||||
capture = json.loads((RAW / "capture_result.json").read_text(encoding="utf-8"))
|
||||
rx_path = RAW / "rx_stream.cs8"
|
||||
if (
|
||||
capture.get("lab") != "Lab066"
|
||||
or capture.get("rf_tx_count") != 1
|
||||
or capture.get("automatic_tx_repeats") != 0
|
||||
or capture.get("point") != asdict(POINT)
|
||||
or capture.get("parameters") != parameters()
|
||||
or capture.get("tx_sha256") != metadata["tx_sha256"]
|
||||
or capture.get("rx_sha256") != sha256(rx_path)
|
||||
):
|
||||
raise RuntimeError("Нет подтверждённой единственной RX-записи Lab066")
|
||||
validity = lab064.capture_validity(capture)
|
||||
if not validity["valid"]:
|
||||
result = {
|
||||
"lab": "Lab066", "stage": "STRICT_DUAL_OFFLINE_ANALYSIS",
|
||||
"classification": "INVALID_CAPTURE", "capture_valid": False,
|
||||
"capture_invalid_reasons": validity["invalid_reasons"],
|
||||
"rf_tx_count": capture.get("rf_tx_count"), "automatic_tx_repeats": 0,
|
||||
}
|
||||
save_new(OUTPUT / "rf_result.json", result)
|
||||
return result
|
||||
legacy = decode("legacy", rx_path, diagnostics=True)
|
||||
t2 = decode("t2", rx_path, diagnostics=True)
|
||||
strict_runs_complete = (
|
||||
legacy.get("candidate_overflow") == 0
|
||||
and t2.get("candidate_overflow") == 0
|
||||
and isinstance(legacy.get("rows"), list)
|
||||
and isinstance(t2.get("rows"), list)
|
||||
)
|
||||
if not strict_runs_complete:
|
||||
raise RuntimeError("Строгие legacy/T2 прогоны не завершены; oracle-диагностика запрещена")
|
||||
tx = lab058.Cs8File(RAW / "tx_stream.cs8")
|
||||
rx = lab058.Cs8File(rx_path)
|
||||
location = locate_first_packet(tx, rx)
|
||||
result = {
|
||||
"lab": "Lab066", "stage": "STRICT_DUAL_OFFLINE_ANALYSIS",
|
||||
"tx_sha256": metadata["tx_sha256"], "rx_sha256": capture["rx_sha256"],
|
||||
"capture_valid": validity["valid"], "capture_invalid_reasons": validity["invalid_reasons"],
|
||||
"run_a_legacy": legacy, "run_b_t2": t2,
|
||||
"same_rx_capture": True, "fallback_between_modes": False,
|
||||
"strict_runs_complete": True,
|
||||
"location_after_strict_runs": location,
|
||||
"physical_diagnostics_scope": "KNOWN_TX_ONLY_AFTER_COMPLETE_STRICT_RUNS",
|
||||
"physical_diagnostics": physical_packet_diagnostics(tx, rx, location),
|
||||
"comparison_targets": ["Lab056 B", "Lab062", "Lab066"],
|
||||
}
|
||||
save_new(OUTPUT / "rf_result.json", result)
|
||||
return result
|
||||
|
||||
|
||||
def summarize_saved_analysis() -> dict:
|
||||
return write_summary_outputs(json.loads(
|
||||
(OUTPUT / "rf_result.json").read_text(encoding="utf-8")
|
||||
))
|
||||
|
||||
|
||||
def run_functional_tests() -> None:
|
||||
assert EXPECTED_TX_SAMPLES == 3_676_096
|
||||
assert transfer_command("NUL", 100, transmit=True)[-7:-5] == ["-x", "20"]
|
||||
assert "-t" not in transfer_command("NUL", 100)
|
||||
try:
|
||||
capture_once(authorization=False)
|
||||
except PermissionError:
|
||||
pass
|
||||
else:
|
||||
raise AssertionError("RF без отдельного разрешения")
|
||||
|
||||
|
||||
def main() -> None:
|
||||
parser = argparse.ArgumentParser(description=__doc__)
|
||||
parser.add_argument(
|
||||
"--stage",
|
||||
choices=("prepare", "software", "preflight", "capture", "analyze", "summarize"),
|
||||
required=True,
|
||||
)
|
||||
parser.add_argument("--authorize-one-rf", action="store_true")
|
||||
arguments = parser.parse_args()
|
||||
if arguments.stage == "prepare": result = prepare()
|
||||
elif arguments.stage == "software": result = software_gate()
|
||||
elif arguments.stage == "preflight": result = preflight()
|
||||
elif arguments.stage == "capture": result = capture_once(authorization=arguments.authorize_one_rf)
|
||||
elif arguments.stage == "analyze": result = analyze_saved_capture()
|
||||
else: result = summarize_saved_analysis()
|
||||
print(json.dumps(result, ensure_ascii=False, indent=2, allow_nan=False))
|
||||
print("RF TX NOW = 0")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user