change config file format

This commit is contained in:
Christos Falas 2025-01-27 12:14:58 +00:00
parent 1bbdac4a2e
commit 659525cefb
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11 changed files with 282 additions and 73 deletions

2
.gitignore vendored
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@ -174,3 +174,5 @@ poetry.toml
pyrightconfig.json pyrightconfig.json
# End of https://www.toptal.com/developers/gitignore/api/python # End of https://www.toptal.com/developers/gitignore/api/python
config.yaml

29
config.yaml.example Normal file
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@ -0,0 +1,29 @@
receive_hosts:
- ["10.0.12.62", 8008]
- ["10.0.12.64", 8008]
transmit_host: ["10.0.12.63", 8008]
antennas:
order: [
[["10.0.12.62", 8008], 0],
[["10.0.12.64", 8008], 1],
[["10.0.12.64", 8008], 0],
[["10.0.12.62", 8008], 1]]
spacing: 0.0285
sample_rate: 100 # Hz
central_freq: 6195 # MHz
channel_width: 20 # MHz
frame_format: HT
preprocessing:
moving_average_alpha: 0.01
bandpass:
lowcut: 2
highcut: 40
music:
eigval_threshold: 10
window_size: 40

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@ -13,6 +13,8 @@ dependencies = [
"scipy-stubs", "scipy-stubs",
"typer", "typer",
"h5py>=3.12.1", "h5py>=3.12.1",
"pyyaml>=6.0.2",
"pydantic>=2.10.6",
] ]

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@ -5,8 +5,9 @@ import numpy as np
import numpy.typing as npt import numpy.typing as npt
import typer import typer
from .. import config, visualise from .. import visualise
from ..collection import ingest from ..collection import ingest
from ..config import config
from ..processing.aoa import AoA from ..processing.aoa import AoA
from ..processing.preprocess import Preprocessor from ..processing.preprocess import Preprocessor
from . import file from . import file
@ -34,7 +35,7 @@ def heatmap() -> None:
preprocessor = Preprocessor() preprocessor = Preprocessor()
aoa = AoA() aoa = AoA()
manager = mp.Manager() manager = mp.Manager()
webapp_queue: "mp.Queue[AoA]" = manager.Queue(config.SAMPLE_RATE) webapp_queue: "mp.Queue[AoA]" = manager.Queue(config.sample_rate)
# Start webapp in background process # Start webapp in background process
webapp = mp.Process(target=visualise.start, args=(webapp_queue,)) webapp = mp.Process(target=visualise.start, args=(webapp_queue,))
webapp.start() webapp.start()

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@ -11,7 +11,7 @@ from typing import Callable, NamedTuple
import numpy as np import numpy as np
import numpy.typing as npt import numpy.typing as npt
from .. import config from ..config import config
from .csi_frame import CSI from .csi_frame import CSI
Host = tuple[str, int] Host = tuple[str, int]
@ -69,21 +69,21 @@ class FeitHost:
class FeitTransmitter(FeitHost): class FeitTransmitter(FeitHost):
def __init__(self) -> None: def __init__(self) -> None:
command = ( command = (
f"feitcsi --frequency {config.CENTRAL_FREQUENCY_MHZ} " f"feitcsi --frequency {config.central_freq} "
f"--channel-width {config.CHANNEL_WIDTH} " f"--channel-width {config.channel_width} "
f"--format {config.FRAME_FORMAT} " f"--format {config.frame_format} "
f"--mode inject -s 1 --verbose " f"--mode inject -s 1 --verbose "
f"--inject-delay {1_000_000 // config.SAMPLE_RATE}" f"--inject-delay {1_000_000 // config.sample_rate}"
) )
super().__init__(config.INJECT_HOST, command) super().__init__(config.transmit_host, command)
class FeitReceiver(FeitHost): class FeitReceiver(FeitHost):
def __init__(self, host: Host) -> None: def __init__(self, host: Host) -> None:
command = ( command = (
f"feitcsi --frequency {config.CENTRAL_FREQUENCY_MHZ} " f"feitcsi --frequency {config.central_freq} "
f"--channel-width {config.CHANNEL_WIDTH} " f"--channel-width {config.channel_width} "
f"--format {config.FRAME_FORMAT} " f"--format {config.frame_format} "
f"--mode measure" f"--mode measure"
) )
super().__init__(host, command) super().__init__(host, command)
@ -135,7 +135,7 @@ class CSIProcessor:
self.pending_data[host] = (datetime.now(), data) self.pending_data[host] = (datetime.now(), data)
def is_ready(self) -> bool: def is_ready(self) -> bool:
for host in config.RECEIVE_HOSTS: for host in config.receive_hosts:
if ( if (
host not in self.pending_data host not in self.pending_data
or self.pending_data[host][0] <= self.last_processed or self.pending_data[host][0] <= self.last_processed
@ -155,7 +155,7 @@ class CSIProcessor:
) )
antenna_data = [ antenna_data = [
np.expand_dims(self.pending_data[ip][1].matrix[:, antenna], axis=2) np.expand_dims(self.pending_data[ip][1].matrix[:, antenna], axis=2)
for ip, antenna in config.ANTENNA_ORDER for ip, antenna in config.antennas.order
] ]
# We have data from all servers # We have data from all servers
@ -194,8 +194,8 @@ def start_processing(
pre_merge_callback: Callable[[dict[Host, CSI]], None] | None = None, pre_merge_callback: Callable[[dict[Host, CSI]], None] | None = None,
) -> None: ) -> None:
receivers = [ receivers = [
Receiver(ip, FeitReceiver(ip), mp.Queue(config.SAMPLE_RATE)) Receiver(ip, FeitReceiver(ip), mp.Queue(config.sample_rate))
for ip in config.RECEIVE_HOSTS for ip in config.receive_hosts
] ]
transmitter = FeitTransmitter() transmitter = FeitTransmitter()

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@ -1,36 +0,0 @@
PREPROCESSING_SHORT_TERM_WINDOW_SIZE = 5
PREPROCESSING_LONG_TERM_ALPHA = 0.01
PREPROCESSING_BANDPASS_LOW_CUTOFF = 2
PREPROCESSING_BANDPASS_HIGH_CUTOFF = 40
AOA_SLIDING_WINDOW_SIZE = 40
RECEIVE_HOSTS = [("cfalas.com", 10001), ("cfalas.com", 10002)]
INJECT_HOST = ("cfalas.com", 10003)
ANTENNA_ORDER = [
(("cfalas.com", 10001), 0),
(("cfalas.com", 10002), 1),
(("cfalas.com", 10002), 0),
(("cfalas.com", 10001), 1),
]
SAMPLE_RATE = 100 # Hz
EIGVAL_THRESHOLD = 10
# DELTA_F = 78_125 # Spacing between subcarriers in Hz
DELTA_F = 312_500 # Spacing between subcarriers in Hz
CENTRAL_FREQUENCY_MHZ = 6195
ANTENNA_SPACING = 0.0285 # 2.85 cm
CHANNEL_WIDTH = 20
FRAME_FORMAT = "HT"
CENTRAL_FREQUENCY_HZ = CENTRAL_FREQUENCY_MHZ * 1_000_000
C = 299_792_458 # m/s
VISUALISE_RAW = False
HEATMAP_FPS = 10

24
src/config/__init__.py Normal file
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@ -0,0 +1,24 @@
import logging
import sys
import pydantic
import yaml
from . import models
logger = logging.getLogger(__name__)
try:
config = yaml.safe_load(open("config.yaml"))
except FileNotFoundError:
logger.error(
"No config.yaml file found. Make sure to copy the "
"config.example.yaml file to config.yaml"
)
sys.exit(1)
try:
config = models.Config(**config)
except pydantic.ValidationError as e:
logger.error(f"Invalid config.yaml file: {e}")
sys.exit(1)

82
src/config/models.py Normal file
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@ -0,0 +1,82 @@
from typing import Literal, Self
from pydantic import BaseModel, model_validator
Host = tuple[str, int]
class Preprocessing(BaseModel):
moving_average_alpha: float
class Bandpass(BaseModel):
lowcut: int
highcut: int
@property
def bounds(self) -> tuple[int, int]:
return (self.lowcut, self.highcut)
bandpass: Bandpass
class MUSIC(BaseModel):
eigval_threshold: int
window_size: int
class Antennas(BaseModel):
spacing: float
order: list[tuple[Host, int]]
class Config(BaseModel):
receive_hosts: list[Host]
transmit_host: Host
antennas: Antennas
sample_rate: int
central_freq: int
channel_width: Literal[20, 40, 80, 160]
frame_format: Literal["NOHT", "HT", "VHT", "HESU"]
preprocessing: Preprocessing
music: MUSIC
@property
def central_freq_hz(self) -> int:
return self.central_freq * 1_000_000
@property
def band(self) -> Literal["2.4", "5", "6"]:
if self.central_freq in range(2412, 2484):
return "2.4"
if self.central_freq in range(5180, 5320):
return "5"
if self.central_freq in range(5955, 7115):
return "6"
raise ValueError(f"{self.central_freq} is not a valid Wi-Fi channel")
@property
def delta_f(self) -> int:
if self.frame_format == "HESU":
return 78_125
return 312_500
@model_validator(mode="after")
def channels(self) -> Self:
band_start = 2412 if self.band == "2.4" else 5180 if self.band == "5" else 5955
if self.band == "2.4" and self.channel_width not in [20, 40]:
raise ValueError(
f"2.4GHz channel {self.central_freq} must "
"have a channel width of 20 or 40 MHz"
)
if (self.band == "2.4" and (self.central_freq - band_start) % 5 != 0) or (
self.band in ["5", "6"]
and ((self.central_freq - band_start) % self.channel_width != 0)
):
raise ValueError(
f"Central frequency {self.central_freq} must be a channel as in https://en.wikipedia.org/wiki/List_of_WLAN_channels"
)
return self

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@ -4,7 +4,7 @@ from datetime import datetime
import numpy as np import numpy as np
import numpy.typing as npt import numpy.typing as npt
from .. import config from ..config import config
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
@ -60,7 +60,7 @@ class AoA:
self.historical_autocorr, np.expand_dims(auto_corr, 0), axis=0 self.historical_autocorr, np.expand_dims(auto_corr, 0), axis=0
) )
WINDOW_SIZE = config.AOA_SLIDING_WINDOW_SIZE WINDOW_SIZE = config.music.window_size
if self.historical_autocorr.shape[0] > WINDOW_SIZE: if self.historical_autocorr.shape[0] > WINDOW_SIZE:
self.historical_autocorr = self.historical_autocorr[-WINDOW_SIZE:] self.historical_autocorr = self.historical_autocorr[-WINDOW_SIZE:]
@ -70,24 +70,19 @@ class AoA:
# The smallest eigenvectors span the noise subspace, # The smallest eigenvectors span the noise subspace,
# and the largest span the signal subspace. # and the largest span the signal subspace.
eigvals, eigvecs = np.linalg.eigh(R) eigvals, eigvecs = np.linalg.eigh(R)
self.E_n = eigvecs[:, np.abs(eigvals) < config.EIGVAL_THRESHOLD] self.E_n = eigvecs[:, np.abs(eigvals) < config.music.eigval_threshold]
omega_base = np.exp(-2j * np.pi * config.DELTA_F)
phi_base = np.exp(
2j * np.pi * config.CENTRAL_FREQUENCY_HZ * config.ANTENNA_SPACING / config.C
)
def steering_vector( def steering_vector(
self, theta: float, tof: float self, theta: float, tof: float
) -> npt.NDArray[np.complexfloating]: ) -> npt.NDArray[np.complexfloating]:
omega_t: npt.NDArray[np.complex128] = np.exp(-2j * np.pi * config.DELTA_F * tof) omega_t: npt.NDArray[np.complex128] = np.exp(-2j * np.pi * config.delta_f * tof)
phi_theta: npt.NDArray[np.complex128] = np.exp( phi_theta: npt.NDArray[np.complex128] = np.exp(
2j 2j
* np.pi * np.pi
* config.CENTRAL_FREQUENCY_HZ * config.central_freq_hz
* config.ANTENNA_SPACING * config.antennas.spacing
* (1 - np.cos(theta)) * (1 - np.cos(theta))
/ config.C / 299_792_458
) )
omega_t = np.expand_dims(omega_t, axis=-1) omega_t = np.expand_dims(omega_t, axis=-1)
@ -129,8 +124,6 @@ def test_steering_vector() -> None:
aoa = AoA() aoa = AoA()
aoa.N_subcarriers = 10 aoa.N_subcarriers = 10
aoa.N_rx = 2 aoa.N_rx = 2
print(aoa.omega_base)
print(aoa.phi_base)
tau = 1 tau = 1
theta = 0 theta = 0
print(aoa.steering_vector(theta, tau)) print(aoa.steering_vector(theta, tau))

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@ -5,7 +5,7 @@ import numpy as np
import numpy.typing as npt import numpy.typing as npt
from scipy.signal import butter, correlate, sosfilt, sosfilt_zi from scipy.signal import butter, correlate, sosfilt, sosfilt_zi
from .. import config from ..config import config
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG) logger.setLevel(logging.DEBUG)
@ -20,11 +20,8 @@ class Preprocessor:
self.long_term_avg = np.zeros((1,), dtype=np.complex128) self.long_term_avg = np.zeros((1,), dtype=np.complex128)
self.filter = butter( self.filter = butter(
5, 5,
[ config.preprocessing.bandpass.bounds,
config.PREPROCESSING_BANDPASS_LOW_CUTOFF, fs=config.sample_rate,
config.PREPROCESSING_BANDPASS_HIGH_CUTOFF,
],
fs=config.SAMPLE_RATE,
btype="band", btype="band",
output="sos", output="sos",
) )
@ -52,8 +49,8 @@ class Preprocessor:
self.long_term_avg = np.zeros(h_hat.shape, dtype=np.complex128) self.long_term_avg = np.zeros(h_hat.shape, dtype=np.complex128)
self.long_term_avg = ( self.long_term_avg = (
self.long_term_avg * (1 - config.PREPROCESSING_LONG_TERM_ALPHA) self.long_term_avg * (1 - config.preprocessing.moving_average_alpha)
+ h_hat * config.PREPROCESSING_LONG_TERM_ALPHA + h_hat * config.preprocessing.moving_average_alpha
) )
# Remove long term average, to remove static paths # Remove long term average, to remove static paths

115
uv.lock
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@ -1,6 +1,15 @@
version = 1 version = 1
requires-python = ">=3.11" requires-python = ">=3.11"
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version = "0.7.0"
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[[package]] [[package]]
name = "rich" name = "rich"
version = "13.9.4" version = "13.9.4"
@ -711,7 +822,9 @@ dependencies = [
{ name = "h5py" }, { name = "h5py" },
{ name = "matplotlib" }, { name = "matplotlib" },
{ name = "numpy" }, { name = "numpy" },
{ name = "pydantic" },
{ name = "pytest" }, { name = "pytest" },
{ name = "pyyaml" },
{ name = "scipy" }, { name = "scipy" },
{ name = "scipy-stubs" }, { name = "scipy-stubs" },
{ name = "typer" }, { name = "typer" },
@ -724,7 +837,9 @@ requires-dist = [
{ name = "h5py", specifier = ">=3.12.1" }, { name = "h5py", specifier = ">=3.12.1" },
{ name = "matplotlib" }, { name = "matplotlib" },
{ name = "numpy", specifier = ">=2.0.0" }, { name = "numpy", specifier = ">=2.0.0" },
{ name = "pydantic", specifier = ">=2.10.6" },
{ name = "pytest" }, { name = "pytest" },
{ name = "pyyaml", specifier = ">=6.0.2" },
{ name = "scipy" }, { name = "scipy" },
{ name = "scipy-stubs" }, { name = "scipy-stubs" },
{ name = "typer" }, { name = "typer" },