add run command to CLI
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57fadd245a
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02eed8bf76
@ -97,4 +97,6 @@ def _(proc: CSIMatrix) -> None:
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cnt += 1
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app.start()
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if __name__ == "__main__":
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print("Starting app")
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app.start()
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@ -166,9 +166,11 @@ class CSIApplication:
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self.raw_csi_callback(sample.matrix)
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if self.pre_merge_callback is not None:
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self.pre_merge_callback(sample.frames)
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processed = self.preprocessor.preprocess(sample.matrix, sample.frames)
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if self.visualise_raw:
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self.visualise_data(processed, visualise.figures.Figure.PROCESSED_CSI)
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processed = self.preprocessor.preprocess(
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sample.matrix, sample.frames, visualiser=self.visualise_data
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)
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# if self.visualise_raw:
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# self.visualise_data(processed, visualise.figures.Figure.PROCESSED_CSI)
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if self.preprocessed_csi_callback is not None:
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self.preprocessed_csi_callback(processed)
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@ -197,17 +199,21 @@ class CSIApplication:
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self.buffer_thread.start()
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self.webapp_thread.start()
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if self.processing_callback is not None:
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def get_proc_sample() -> None:
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sample = self.preprocessor.last_sample
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if self.visualise_raw and sample is not None:
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self.visualise_data(
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sample,
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visualise.figures.Figure.PROCESSED_CSI,
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)
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if sample is not None and self.processing_callback is not None:
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self.processing_callback(sample)
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else:
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self.logger.warning("No samples to process")
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def get_proc_sample() -> None:
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sample = self.preprocessor.last_sample
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if sample is not None and self.processing_callback is not None:
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self.processing_callback(sample)
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else:
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self.logger.warning("No samples to process")
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self.scheduler = Scheduler(config.processing_sample_rate, get_proc_sample)
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self.scheduler.start()
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self.scheduler = Scheduler(config.processing_sample_rate, get_proc_sample)
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self.scheduler.start()
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try:
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self.webapp_thread.join()
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except KeyboardInterrupt:
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@ -1,4 +1,6 @@
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import importlib.util
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import logging
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from pathlib import Path
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from queue import Queue
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from typing import cast
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@ -7,11 +9,11 @@ import numpy.typing as npt
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import torch
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import typer
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from where_fi.application import CSIApplication
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from where_fi.collection import CSIMatrix
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from where_fi.config import config
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from where_fi.processing.aoa import AoA
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from ..application import CSIApplication
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from ..config import config
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from ..processing.aoa import AoA
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from ..visualise import server as visualise
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from . import file, globals
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@ -53,44 +55,43 @@ def heatmap() -> None:
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@cli.command()
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def phase_analysis(
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subcarriers: list[int] = [0], rx_antenna: int = 0, tx_antenna: int = 0
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) -> None:
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def run(file: Path, app_name: str = "app") -> None:
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"""
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Visualise the phase information in the CSI data received from the antennas.
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Run the application with the given file.
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The data goes through the same preprocessing steps as the heatmap command, but
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instead of going through the AoA estimation, we simply analyse the phase of the
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selected subcarrier and antenna.
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Can be used for running arbitrary CSI applications with non-default data streams
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(e.g. from file or environment simulation).
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"""
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print(file.absolute())
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if not file.exists():
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print(f"Error: File '{file}' does not exist.")
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raise typer.Exit(1)
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module_name = file.stem
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app = CSIApplication(globals.csi_producer)
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spec = importlib.util.spec_from_file_location(module_name, str(file))
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if spec is None:
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print(f"Could not load spec from {file}")
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raise typer.Exit(1)
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if isinstance(subcarriers, int):
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subcarriers = [subcarriers]
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print("Starting phase analysis on subcarriers: ", subcarriers)
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module = importlib.util.module_from_spec(spec)
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if spec.loader is None:
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print(f"Could not load module from {file}")
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raise typer.Exit(1)
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try:
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spec.loader.exec_module(module)
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except Exception as e:
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print(f"Failed to execute {file}: {e}")
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raise typer.Exit(1) from e
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subcarrier_phase: dict[int, Queue[float]] = {
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x: Queue(config.collection_sample_rate) for x in subcarriers
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}
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if not hasattr(module, app_name):
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print(f"Error: '{app_name}' not defined in the module.")
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raise typer.Exit(1)
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if not isinstance(module.app, CSIApplication):
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print(f"Error: '{app_name}' is not a CSIApplication.")
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raise typer.Exit(1)
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@app.on_sample
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def _(sample: CSIMatrix) -> None:
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for subcarrier in subcarriers:
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phase = cast(float, np.angle(sample[subcarrier, rx_antenna, tx_antenna]))
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if subcarrier_phase[subcarrier].full():
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subcarrier_phase[subcarrier].get()
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subcarrier_phase[subcarrier].put(phase)
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@app.on_process
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def _(_: CSIMatrix) -> None:
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logger.info("Updating phase visualisation")
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app.visualise_data(
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np.array([x.queue for x in subcarrier_phase.values()]),
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visualise.figures.Figure.PHASE_ANALYSIS,
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)
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app.start()
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module.app.producer = globals.csi_producer
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module.app.start()
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cli.add_typer(file.app, name="file", help="Commands for working with CSI files")
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