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@ -6,10 +6,10 @@ This is a practical reference for the ``ria`` CLI from ``ria-toolkit-oss``.
**Scope of this guide:**
* **Installation and SDR driver prerequisites** — how to install RIA Toolkit OSS and configure the system drivers your hardware requires
* **End-to-end CLI workflow** — a step-by-step walkthrough from hardware discovery through capture, annotation, and processing
* **Full command reference** — options, flags, and examples for every ``ria`` command
* **Python scripting preview** — using the toolkit API directly without the CLI
* Installation and setup
* End-to-end CLI workflows
* Full command reference for CLI features
* Brief scripting section
**Official resources:**
@ -18,15 +18,76 @@ This is a practical reference for the ``ria`` CLI from ``ria-toolkit-oss``.
* `PyPI package <https://pypi.org/project/ria-toolkit-oss/>`_
* `RIA Hub Conda package <https://riahub.ai/qoherent/-/packages/conda/ria-toolkit-oss>`_
.. contents:: Contents
:local:
:depth: 2
:backlinks: none
1) Installation and Setup
==========================
Before using the ``ria`` CLI, follow the :doc:`Installation <installation>` guide to
install RIA Toolkit OSS and any SDR drivers required for your hardware.
1.1 Installation with Conda
----------------------------
RIA Toolkit OSS is available as a Conda package on RIA Hub. This is typically the easiest
path when using SDR tooling that depends on native/system libraries.
.. code-block:: bash
conda update --force conda
conda config --add channels https://riahub.ai/api/packages/qoherent/conda
conda activate base
conda install ria-toolkit-oss
Verify:
.. code-block:: bash
conda list | grep ria-toolkit-oss
1.1 SDR driver prerequisites
1.2 Installation with pip
--------------------------
Use pip unless you specifically need to edit toolkit source.
.. code-block:: bash
python3 -m venv .venv
source .venv/bin/activate
pip install --upgrade pip
pip install ria-toolkit-oss
Verify CLI entrypoint:
.. code-block:: bash
ria --help
``pyproject.toml`` defines two script entry points:
* ``ria``
* ``ria-tools``
Both point to the same CLI module (``ria_toolkit_oss_cli.cli:cli``).
1.3 Optional install from source
----------------------------------
Use this for local development or testing unreleased changes.
.. code-block:: bash
git clone https://riahub.ai/qoherent/ria-toolkit-oss.git
cd ria-toolkit-oss
python3 -m venv .venv
source .venv/bin/activate
pip install -e .
1.4 SDR driver prerequisites
-----------------------------
Toolkit package install does not install all system SDR drivers. Install vendor/runtime
@ -34,22 +95,11 @@ dependencies for the hardware you use.
Examples (depends on device and OS):
.. list-table::
:widths: 25 75
:header-rows: 1
* - Device
- Driver Package
* - USRP
- UHD drivers
* - Pluto
- libiio / IIO utilities
* - BladeRF
- libbladeRF
* - HackRF
- libhackrf
* - RTL-SDR
- librtlsdr
* USRP: UHD drivers
* Pluto: libiio / IIO utilities
* BladeRF: libbladeRF
* HackRF: libhackrf
* RTL-SDR: librtlsdr
See repo docs under ``docs/source/sdr_guides/*`` and your OS package instructions.
@ -69,34 +119,18 @@ Top-level CLI follows this model:
**Top-level commands:**
.. list-table::
:widths: 25 75
:header-rows: 1
* - Command
- Purpose
* - :ref:`discover <cmd-discover>`
- Probe SDR drivers and enumerate attached hardware
* - :ref:`init <cmd-init>`
- Create and manage user metadata defaults
* - :ref:`capture <cmd-capture>`
- Record IQ samples from a connected SDR
* - :ref:`view <cmd-view>`
- Generate visualizations from IQ files
* - :ref:`annotate <cmd-annotate>`
- Label signal regions manually or with auto-detection (group)
* - :ref:`convert <cmd-convert>`
- Convert between IQ file formats
* - :ref:`split <cmd-split>`
- Split, trim, or extract recordings
* - :ref:`combine <cmd-combine>`
- Merge multiple recordings by concatenation or addition
* - :ref:`generate / synth <cmd-generate>`
- Generate synthetic IQ signals (group; ``synth`` is an alias)
* - :ref:`transform <cmd-transform>`
- Apply augmentations or impairments to recordings (group)
* - :ref:`transmit <cmd-transmit>`
- Transmit IQ through a TX-capable SDR
* ``discover``
* ``init``
* ``capture``
* ``view``
* ``annotate`` (group)
* ``convert``
* ``split``
* ``combine``
* ``generate`` (group)
* ``transform`` (group)
* ``transmit``
* ``synth`` (alias of ``generate`` in command bindings)
3) Quick End-to-End Workflow
@ -124,8 +158,10 @@ provenance fields.
.. code-block:: bash
ria init
ria init --author "Jane Doe" --project "rf-campaign-1" --location "Lab-A" # non-interactive
ria init --show # show config
# or non-interactive
ria init --author "Jane Doe" --project "rf-campaign-1" --location "Lab-A"
# show config
ria init --show
3.3 Capture IQ
@ -191,14 +227,13 @@ Replay recorded or synthesized IQ through a transmit-capable SDR.
.. code-block:: bash
ria transmit -d hackrf -f 2.44G -s 2e6 --input capture.sigmf-data
ria transmit -d hackrf --generate lfm --continuous # generated waveform
# or generated waveform
ria transmit -d hackrf --generate lfm --continuous
4) Command Reference
=====================
.. _cmd-discover:
4.1 ``discover``
-----------------
@ -228,8 +263,6 @@ Replay recorded or synthesized IQ through a transmit-capable SDR.
hidden in default output.
.. _cmd-init:
4.2 ``init``
-------------
@ -276,8 +309,6 @@ Replay recorded or synthesized IQ through a transmit-capable SDR.
generate metadata, and YAML config loading paths).
.. _cmd-capture:
4.3 ``capture``
----------------
@ -351,8 +382,6 @@ Device selection (``--device``) is optional if only one device is detected. Exac
ria capture -c capture_config.yaml
.. _cmd-view:
4.4 ``view``
-------------
@ -413,21 +442,7 @@ Device selection (``--device``) is optional if only one device is detected. Exac
ria view capture.npy --type full --title "Test Capture" --format pdf
ria view capture.npy --show --no-save
ria view old.npy --legacy --type simple
ria view recordings\qam64_35.npy --type simple
ria view recordings\qam64_35.npy --type full
.. figure:: ../images/recordings/qam64_35.png
:alt: Example output of ria view recordings\qam64_35.npy --type simple
Output of ``ria view recordings\qam64_35.npy --type simple``
.. figure:: ../images/recordings/qam64_35-full.png
:alt: Example output of ria view recordings\qam64_35.npy --type full
Output of ``ria view recordings\qam64_35.npy --type full``
.. _cmd-annotate:
4.5 ``annotate`` group
-----------------------
@ -444,30 +459,8 @@ Device selection (``--device``) is optional if only one device is detected. Exac
ria annotate <subcommand> ...
**Subcommands:**
.. list-table::
:widths: 25 75
:header-rows: 1
* - Subcommand
- Purpose
* - ``list``
- Inspect all annotations on a recording
* - ``add``
- Add one annotation with explicit sample-domain bounds
* - ``remove``
- Remove one annotation by index
* - ``clear``
- Remove all annotations from a recording
* - ``energy``
- Auto-detect regions above the estimated noise floor
* - ``cusum``
- Auto-detect regime changes using change-point detection
* - ``threshold``
- Auto-detect regions using normalized magnitude thresholding
* - ``separate``
- Decompose annotations into narrower spectral components
**Subcommands:** ``list``, ``add``, ``remove``, ``clear``, ``energy``, ``cusum``,
``threshold``, ``separate``
**General behavior:**
@ -594,16 +587,8 @@ annotations.
ria annotate add capture.sigmf-data --start 10000 --count 5000 --label burst
ria annotate energy capture.sigmf-data --label signal --threshold 1.3
ria annotate cusum capture.sigmf-data --min-duration 5
ria annotate threshold recordings/sample_recording3.npy --threshold 0.7 --label 70%
ria annotate separate capture.sigmf-data --indices 0,1 --verbose
.. figure:: ../images/recordings/sample_recording3_annotated.png
:alt: Example output of ria annotate threshold recordings/sample_recording3.npy --threshold 0.7 --label 70%
Output of ``ria annotate threshold recordings/sample_recording3.npy --threshold 0.7 --label 70%``
.. _cmd-convert:
4.6 ``convert``
----------------
@ -644,8 +629,6 @@ inferred from the output file extension.
ria convert old.npy --format sigmf --legacy --overwrite
.. _cmd-split:
4.7 ``split``
--------------
@ -687,8 +670,6 @@ Choose exactly one operation per invocation:
ria split annotated.sigmf-data --extract-annotations --annotation-label payload
.. _cmd-combine:
4.8 ``combine``
----------------
@ -736,8 +717,6 @@ Choose exactly one operation per invocation:
ria combine signal.npy pattern.npy out.npy --mode add --align-mode repeat-spaced --repeat-spacing 10000
.. _cmd-generate:
4.9 ``generate`` group (and ``synth`` alias)
---------------------------------------------
@ -749,34 +728,15 @@ Choose exactly one operation per invocation:
``ria synth ...`` is an alias for ``ria generate ...``.
**Usage:**
**Shape:**
.. code-block:: bash
ria generate <subcommand> [subcommand options] [common options]
**Available subcommands:**
.. list-table::
:widths: 30 70
:header-rows: 1
* - Subcommand(s)
- Description
* - ``tone``
- Clean sinusoidal calibration/reference source
* - ``noise``
- Baseline noise floor data or controlled additive-noise synthesis
* - ``chirp``
- Sweep-based radar/sonar-style signals and bandwidth occupancy tests
* - ``square``, ``sawtooth``
- Periodic waveform primitives
* - ``qam``, ``apsk``, ``pam``, ``psk``
- Digital modulation families with pulse-shaping filter support
* - ``fsk``
- Frequency-shift keying with configurable tone spacing
* - ``ook``, ``oqpsk``, ``gmsk``
- On-off keying and continuous-phase modulation schemes
``tone``, ``noise``, ``chirp``, ``square``, ``sawtooth``, ``qam``, ``apsk``, ``pam``,
``fsk``, ``ook``, ``oqpsk``, ``gmsk``, ``psk``
**Common options shared across all generators:**
@ -800,16 +760,22 @@ Multipath and IQ imbalance flags apply impairment-style post-processing during g
Options: ``--frequency``, ``--amplitude``, ``--phase``
Clean sinusoidal calibration/reference source.
``noise``
~~~~~~~~~~
Options: ``--noise-type {gaussian,uniform}``, ``--power``
Baseline noise floor data or controlled additive-noise synthesis.
``chirp``
~~~~~~~~~~
Options: ``--bandwidth`` (required), ``--period`` (required), ``--type {up,down,up_down}``
Sweep-based radar/sonar-style signals and bandwidth occupancy tests.
``square``
~~~~~~~~~~~
@ -860,8 +826,6 @@ symbol transition sharpness).
ria synth psk -s 2e6 -r 100e3 -M 8 -N 8000 -o psk8.npy
.. _cmd-transform:
4.10 ``transform`` group
-------------------------
@ -870,7 +834,7 @@ symbol transition sharpness).
* Apply algorithmic transforms to existing recordings.
* Run reusable augmentations/impairments for dataset diversity and robustness testing.
**Usage:**
**Shape:**
.. code-block:: bash
@ -931,8 +895,6 @@ inspect parameter hints. ``--view`` writes a PNG preview alongside transform out
ria transform custom my_filter in.npy out.npy --transform-dir ./my_transforms --params cutoff=0.2
.. _cmd-transmit:
4.11 ``transmit``
------------------
@ -1031,7 +993,17 @@ experiment-specific fields on the CLI.
ria generate noise --config generate.yaml
6) Version Notes
6) Practical Tips and Safety
=============================
* Use ``ria discover`` before capture/transmit sessions.
* Keep TX gain conservative first; validate with attenuators/dummy loads when needed.
* Prefer SigMF for interoperable metadata and annotations.
* For long workflows, keep outputs organized by campaign directories and consistent prefixes.
* Use ``--verbose`` when debugging device init or driver issues.
7) Version Notes
=================
These notes are based on the current implementation and should be re-validated against future
@ -1044,19 +1016,18 @@ releases.
3. Multiple non-CLI modules still import ``utils.*``, which can create runtime dependency
coupling when using only ``ria-toolkit-oss`` in isolation.
.. tip::
If you observe unexpected import errors after install, check the package version and
changelog, then test ``ria --help`` in a clean virtual environment.
If you observe unexpected import errors after install, check the package version and
changelog, then test ``ria --help`` in a clean virtual environment.
7) Brief Scripting (Python) Preview
8) Brief Scripting (Python) Preview
=====================================
For quick non-CLI use:
.. code-block:: python
from ria_toolkit_oss.data import Recording
from ria_toolkit_oss.datatypes import Recording
from ria_toolkit_oss.io import load_recording, to_sigmf
from ria_toolkit_oss.transforms import iq_augmentations, iq_impairments
@ -1066,3 +1037,47 @@ For quick non-CLI use:
to_sigmf(imp, filename="capture_awgn", path=".")
You can also call annotation algorithms and block-generator primitives from Python directly.
9) Cheat Sheet
===============
.. code-block:: bash
# Install
pip install ria-toolkit-oss
# Discover
ria discover -v
# Init defaults
ria init --author "Jane" --project "rf1" --location "Lab-A"
# Capture
ria capture -d pluto -f 2.44G -s 2e6 -n 1000000 -o cap.sigmf-data
# View
ria view cap.sigmf-data --type simple
# Annotate
ria annotate energy cap.sigmf-data --threshold 1.2
ria annotate list cap.sigmf-data --verbose
# Convert
ria convert cap.sigmf-data cap.npy
# Split
ria split cap.sigmf-data --split-every 100000 --output-dir chunks
# Combine
ria combine chunks/a.npy chunks/b.npy merged.npy
# Generate
ria generate qam -s 2e6 -r 100e3 -M 16 -N 5000 -o qam16.npy
# Transform
ria transform augment channel_swap cap.npy
ria transform impair add_awgn_to_signal cap.npy --params snr=10
# Transmit
ria transmit -d hackrf --input cap.sigmf-data -f 2.44G -s 2e6

View File

@ -594,14 +594,8 @@ annotations.
ria annotate add capture.sigmf-data --start 10000 --count 5000 --label burst
ria annotate energy capture.sigmf-data --label signal --threshold 1.3
ria annotate cusum capture.sigmf-data --min-duration 5
ria annotate threshold recordings/sample_recording3.npy --threshold 0.7 --label 70%
ria annotate separate capture.sigmf-data --indices 0,1 --verbose
.. figure:: ../images/recordings/sample_recording3_annotated.png
:alt: Example output of ria annotate threshold recordings/sample_recording3.npy --threshold 0.7 --label 70%
Output of ``ria annotate threshold recordings/sample_recording3.npy --threshold 0.7 --label 70%``
.. _cmd-convert:

View File

@ -38,12 +38,7 @@ def annotate_with_cusum(
:type annotation_type: str
"""
sample_rate = recording.metadata.get("sample_rate")
if sample_rate is None:
raise ValueError(
"Recording metadata does not contain 'sample_rate'. "
"Supply it with --sample-rate when using the CLI, or set recording.sample_rate before calling this function."
)
sample_rate = recording.metadata["sample_rate"]
center_frequency = recording.metadata.get("center_frequency", 0)
# Create an object of the time segmenter

View File

@ -6,7 +6,6 @@ and occupied bandwidth calculation following ITU-R SM.328 standard.
"""
import json
import warnings
from typing import Tuple
import numpy as np
@ -120,17 +119,6 @@ def detect_signals_energy(
if active:
boundaries.append((start, len(smoothed_power) - start))
if not boundaries and noise_floor > 0:
peak = float(np.max(smoothed_power))
dynamic_range = peak / noise_floor
if dynamic_range < threshold_factor:
warnings.warn(
f"detect_signals_energy: no signal boundaries found — dynamic range {dynamic_range:.2f}x is below "
f"the threshold factor {threshold_factor}x. The signal may be constant-envelope (e.g. CW or chirp). "
"If the entire recording is signal, use 'ria annotate cusum' to segment it as a single region.",
stacklevel=2,
)
# Merge boundaries that are closer than min_distance
merged_boundaries = []
if boundaries:
@ -147,12 +135,7 @@ def detect_signals_energy(
merged_boundaries.append((start, length))
# Create annotations from detected boundaries
sample_rate = recording.metadata.get("sample_rate")
if sample_rate is None:
raise ValueError(
"Recording metadata does not contain 'sample_rate'. "
"Supply it with --sample-rate when using the CLI, or set recording.sample_rate before calling this function."
)
sample_rate = recording.metadata["sample_rate"]
center_frequency = recording.metadata.get("center_frequency", 0)
# Validate frequency method
@ -368,12 +351,7 @@ def annotate_with_obw(
>>> annotated = annotate_with_obw(recording, label="signal_obw")
"""
signal = recording.data[0]
sample_rate = recording.metadata.get("sample_rate")
if sample_rate is None:
raise ValueError(
"Recording metadata does not contain 'sample_rate'. "
"Set recording.sample_rate before calling this function."
)
sample_rate = recording.metadata["sample_rate"]
center_freq = recording.metadata.get("center_frequency", 0)
# Calculate OBW

View File

@ -49,7 +49,6 @@ allowing splitting of overlapping signals into separate training samples.
"""
import json
import warnings
from typing import List, Optional, Tuple
import numpy as np
@ -402,12 +401,7 @@ def split_recording_annotations(
return recording
signal = recording.data[0]
sample_rate = recording.metadata.get("sample_rate")
if sample_rate is None:
raise ValueError(
"Recording metadata does not contain 'sample_rate'. "
"Supply it with --sample-rate when using the CLI, or set recording.sample_rate before calling this function."
)
sample_rate = recording.metadata["sample_rate"]
center_frequency = recording.metadata.get("center_frequency", 0.0)
# Build new annotation list
@ -431,11 +425,8 @@ def split_recording_annotations(
else:
# No components found, keep original
new_annotations.append(anno)
except Exception as e:
warnings.warn(
f"split_recording_annotations: failed to split annotation at index {i} ({e}); keeping original.",
stacklevel=2,
)
except Exception:
# Split failed for any reason, keep original
new_annotations.append(anno)
else:
# Not in split list, keep as-is

View File

@ -24,7 +24,7 @@ def qualify_slice_from_annotations(recording: Recording, slice_length: int):
output_recordings = []
for i in range(len(recording.data[0]) // slice_length):
for i in range((len(recording.data[0]) // slice_length) - 1):
start_index = slice_length * i
end_index = slice_length * (i + 1)

View File

@ -35,24 +35,17 @@ def isolate_signal(recording: Recording, annotation: Annotation) -> Recording:
isolation_bw = anno_bw
sample_rate = recording.metadata.get("sample_rate")
if sample_rate is None:
raise ValueError(
"Recording metadata does not contain 'sample_rate'. "
"Set recording.sample_rate before calling isolate_signal."
)
# frequency shift the center of the box about zero
shifted_signal_slice = frequency_shift_iq_samples(
iq_samples=signal_slice,
sample_rate=sample_rate,
sample_rate=recording.metadata["sample_rate"],
shift_frequency=-1 * anno_base_center_freq,
)
# filter
if isolation_bw < sample_rate - 1:
if isolation_bw < recording.metadata["sample_rate"] - 1:
filtered_signal = apply_complex_lowpass_filter(
signal=shifted_signal_slice, cutoff_frequency=isolation_bw, sample_rate=sample_rate
signal=shifted_signal_slice, cutoff_frequency=isolation_bw, sample_rate=recording.metadata["sample_rate"]
)
else:

View File

@ -42,7 +42,6 @@ classification or demodulation stages.
"""
import json
import warnings
from typing import Optional
import numpy as np
@ -217,21 +216,11 @@ def threshold_qualifier(
"""
# Extract signal and metadata
sample_data = recording.data[channel]
sample_rate = recording.metadata.get("sample_rate")
if sample_rate is None:
raise ValueError(
"Recording metadata does not contain 'sample_rate'. "
"Supply it with --sample-rate when using the CLI, or set recording.sample_rate before calling this function."
)
sample_rate = recording.metadata["sample_rate"]
center_frequency = recording.metadata.get("center_frequency", 0)
n_samples = len(sample_data)
if window_size is None:
window_size = max(64, int(sample_rate * 0.001))
# Cap at 1% of signal length so short recordings aren't over-smoothed into
# a flat envelope that collapses the dynamic range below the early-exit guard.
window_size = min(window_size, max(64, n_samples // 100))
# --- 1. SIGNAL CONDITIONING ---
# Convert to power (Magnitude squared)
@ -248,12 +237,6 @@ def threshold_qualifier(
# Soft early exit: keep a guard for low-contrast noise, but compute it from
# the quieter tail of the envelope so burst-heavy captures are not rejected.
if dynamic_range_ratio < 1.5:
warnings.warn(
f"threshold_qualifier: dynamic range ratio {dynamic_range_ratio:.2f} is below 1.5 — "
"the signal appears to be constant-envelope or pure noise, so no burst boundaries can be found. "
"If the entire recording is signal, use 'ria annotate cusum' to segment it as a single region.",
stacklevel=2,
)
return Recording(data=recording.data, metadata=recording.metadata, annotations=recording.annotations)
trigger_val = noise_floor + threshold * (max_power - noise_floor)
@ -313,7 +296,7 @@ def threshold_qualifier(
# burst energy does not bleed through the long window into adjacent regions,
# which would inflate macro_residual_max and push the trigger above the
# faint burst's average power.
macro_window_size = min(max(window_size * 16, int(sample_rate * 0.02)), max(window_size * 2, n_samples // 4))
macro_window_size = max(window_size * 16, int(sample_rate * 0.02))
macro_kernel = np.ones(macro_window_size, dtype=np.float64) / macro_window_size
# Expand each annotated range by half the macro window on both sides so that
# the long convolution cannot "see" the leading/trailing edges of already-

View File

@ -175,15 +175,6 @@ def from_npy(file: os.PathLike | str, legacy: bool = False) -> Recording:
)
data = first # already loaded without pickle (numeric array)
metadata = np.load(f, allow_pickle=True).tolist()
# Normalize namespaced keys (e.g. "BlockGenerator:Foo:sample_rate") to
# their bare equivalents so downstream code can find them reliably.
_STANDARD_KEYS = {"sample_rate", "center_frequency", "bandwidth"}
if isinstance(metadata, dict):
for k in list(metadata):
if ":" in k:
bare = k.rsplit(":", 1)[-1]
if bare in _STANDARD_KEYS and bare not in metadata:
metadata[bare] = metadata[k]
try:
annotations = list(np.load(f, allow_pickle=True))
except EOFError:

View File

@ -51,7 +51,7 @@ def detect_input_format(filepath):
raise click.ClickException(f"Unknown format for '{filepath}'. Supported: .sigmf, .npy, .wav, .blue")
def determine_output_path(input_path, output_path, fmt, overwrite):
def determine_output_path(input_path, output_path, fmt, quiet, overwrite):
input_path = Path(input_path)
input_is_annotated = input_path.stem.endswith("_annotated")
@ -63,20 +63,24 @@ def determine_output_path(input_path, output_path, fmt, overwrite):
else:
target = input_path.with_name(f"{input_path.stem}_annotated{input_path.suffix}")
final_path = normalize_sigmf_path(target) if fmt == "sigmf" else target
if fmt == "sigmf":
final_path = normalize_sigmf_path(target)
if not quiet:
click.echo(f"Saving SigMF metadata to: {final_path}")
else:
final_path = target
if not quiet:
click.echo(f"Saving to: {final_path}")
if final_path.exists() and not overwrite:
raise click.ClickException(f"{final_path} already exists. Use --overwrite to replace it.")
# Always allow writing to _annotated files; guard against overwriting originals
target_is_annotated = final_path.stem.endswith("_annotated")
if final_path.exists() and not target_is_annotated and final_path != input_path:
click.echo(f"Error: {final_path} is not an annotated file and cannot be overwritten.", err=True)
return None
return final_path
def check_output_available(input_path, output_path, overwrite):
"""Raise ClickException before any work begins if the output file already exists."""
fmt = detect_input_format(Path(input_path))
determine_output_path(input_path=input_path, output_path=output_path, fmt=fmt, overwrite=overwrite)
def save_recording_auto(recording, output_path, input_path, quiet=False, overwrite=False):
"""Save recording, auto-detecting format from extension.
@ -86,16 +90,11 @@ def save_recording_auto(recording, output_path, input_path, quiet=False, overwri
input_path = Path(input_path)
fmt = detect_input_format(input_path)
# Determine output path
output_path = determine_output_path(
input_path=input_path, output_path=output_path, fmt=fmt, overwrite=overwrite
input_path=input_path, output_path=output_path, fmt=fmt, quiet=quiet, overwrite=overwrite
)
if not quiet:
if fmt == "sigmf":
click.echo(f"Saving SigMF metadata to: {output_path}")
else:
click.echo(f"Saving to: {output_path}")
if fmt == "sigmf":
# Normalize path for SigMF
base_path = output_path
@ -313,8 +312,6 @@ def add(input, start, count, label, freq_lower, freq_upper, comment, annotation_
except Exception as e:
raise click.ClickException(f"Failed to load recording: {e}")
check_output_available(input, output, overwrite)
# Validate sample range
n_samples = len(recording.data[0])
if start < 0:
@ -366,9 +363,12 @@ def add(input, start, count, label, freq_lower, freq_upper, comment, annotation_
if comment:
click.echo(f" Comment: {comment}")
save_recording_auto(recording, output, input, quiet, overwrite)
if not quiet:
click.echo(" ✓ Saved")
try:
save_recording_auto(recording, output, input, quiet, overwrite)
if not quiet:
click.echo(" ✓ Saved")
except Exception as e:
raise click.ClickException(f"Failed to save: {e}")
# ============================================================================
@ -466,6 +466,8 @@ def clear(input, output, overwrite, force, quiet):
if not quiet:
click.echo(f"\nCleared {count_before} annotation(s)")
recording._annotations = []
try:
save_recording_auto(recording, output_path=input, input_path=input, quiet=quiet, overwrite=True)
if not quiet:
@ -501,7 +503,6 @@ def clear(input, output, overwrite, force, quiet):
default="standalone",
help="Annotation type",
)
@click.option("--sample-rate", type=float, default=None, help="Sample rate in Hz (overrides metadata; required if not in file)")
@click.option("--output", "-o", type=click.Path(), help="Output file path")
@click.option("--overwrite", is_flag=True, help="Overwrite input file (non-SigMF only)")
@click.option("--quiet", is_flag=True, help="Quiet mode")
@ -516,7 +517,6 @@ def energy(
nfft,
obw_power,
annotation_type,
sample_rate,
output,
overwrite,
quiet,
@ -539,11 +539,8 @@ def energy(
ria annotate energy signal.npy --threshold 1.5 --min-distance 10000
ria annotate energy signal.sigmf-data --freq-method obw
ria annotate energy signal.sigmf-data --freq-method full-detected
ria annotate energy signal.npy --sample-rate 1e6
"""
check_output_available(input, output, overwrite)
try:
recording = load_recording(input)
if not quiet:
@ -551,15 +548,6 @@ def energy(
except Exception as e:
raise click.ClickException(f"Failed to load recording: {e}")
if sample_rate is not None:
recording.sample_rate = sample_rate
if recording.sample_rate is None:
raise click.ClickException(
"Recording metadata does not contain a sample rate. "
"Provide it with --sample-rate (e.g. --sample-rate 1e6)."
)
if not quiet:
click.echo("\nDetecting signals using energy-based method...")
click.echo(" Time detection:")
@ -587,13 +575,13 @@ def energy(
if not quiet:
click.echo(f" ✓ Added {added} annotation(s)")
save_recording_auto(recording, output, input, quiet, overwrite)
if not quiet:
click.echo(" ✓ Saved")
except Exception as e:
raise click.ClickException(f"Energy detection failed: {e}")
save_recording_auto(recording, output, input, quiet, overwrite)
if not quiet:
click.echo(" ✓ Saved")
# ============================================================================
# CUSUM detection subcommand
@ -613,11 +601,10 @@ def energy(
default="standalone",
help="Annotation type",
)
@click.option("--sample-rate", type=float, default=None, help="Sample rate in Hz (overrides metadata; required if not in file)")
@click.option("--output", "-o", type=click.Path(), help="Output file path")
@click.option("--overwrite", is_flag=True, help="Overwrite input file (non-SigMF only)")
@click.option("--quiet", is_flag=True, help="Quiet mode")
def cusum(input, label, min_duration, window_size, tolerance, annotation_type, sample_rate, output, overwrite, quiet):
def cusum(input, label, min_duration, window_size, tolerance, annotation_type, output, overwrite, quiet):
"""Auto-detect segments using CUSUM method.
Detects signal state changes (on/off, amplitude transitions). Best for
@ -629,10 +616,7 @@ def cusum(input, label, min_duration, window_size, tolerance, annotation_type, s
Examples:
ria annotate cusum signal.sigmf-data --min-duration 5.0
ria annotate cusum data.npy --min-duration 10.0 --label state
ria annotate cusum data.npy --sample-rate 1e6
"""
check_output_available(input, output, overwrite)
try:
recording = load_recording(input)
if not quiet:
@ -640,15 +624,6 @@ def cusum(input, label, min_duration, window_size, tolerance, annotation_type, s
except Exception as e:
raise click.ClickException(f"Failed to load recording: {e}")
if sample_rate is not None:
recording.sample_rate = sample_rate
if recording.sample_rate is None:
raise click.ClickException(
"Recording metadata does not contain a sample rate. "
"Provide it with --sample-rate (e.g. --sample-rate 1e6)."
)
if not quiet:
click.echo("\nDetecting segments using CUSUM...")
click.echo(f" Min duration: {min_duration} ms")
@ -669,13 +644,13 @@ def cusum(input, label, min_duration, window_size, tolerance, annotation_type, s
if not quiet:
click.echo(f" ✓ Added {added} annotation(s)")
save_recording_auto(recording, output, input, quiet, overwrite)
if not quiet:
click.echo(" ✓ Saved")
except Exception as e:
raise click.ClickException(f"CUSUM detection failed: {e}")
save_recording_auto(recording, output, input, quiet, overwrite)
if not quiet:
click.echo(" ✓ Saved")
# ============================================================================
# Threshold detection subcommand
@ -700,11 +675,10 @@ def cusum(input, label, min_duration, window_size, tolerance, annotation_type, s
help="Annotation type",
)
@click.option("--channel", type=int, default=0, help="Channel index to annotate (default: 0)")
@click.option("--sample-rate", type=float, default=None, help="Sample rate in Hz (overrides metadata; required if not in file)")
@click.option("--output", "-o", type=click.Path(), help="Output file path")
@click.option("--overwrite", is_flag=True, help="Overwrite input file (non-SigMF only)")
@click.option("--quiet", is_flag=True, help="Quiet mode")
def threshold(input, threshold, label, window_size, annotation_type, channel, sample_rate, output, overwrite, quiet):
def threshold(input, threshold, label, window_size, annotation_type, channel, output, overwrite, quiet):
"""Auto-detect signals using threshold method.
Detects samples above a percentage of maximum magnitude. Best for simple
@ -714,13 +688,10 @@ def threshold(input, threshold, label, window_size, annotation_type, channel, sa
Examples:
ria annotate threshold signal.sigmf-data --threshold 0.7 --label wifi
ria annotate threshold data.npy --threshold 0.5 --window-size 2048
ria annotate threshold data.npy --threshold 0.4 --sample-rate 1e6
"""
if not (0.0 <= threshold <= 1.0):
raise click.ClickException(f"--threshold must be between 0.0 and 1.0, got {threshold}")
check_output_available(input, output, overwrite)
try:
recording = load_recording(input)
if not quiet:
@ -728,21 +699,11 @@ def threshold(input, threshold, label, window_size, annotation_type, channel, sa
except Exception as e:
raise click.ClickException(f"Failed to load recording: {e}")
if sample_rate is not None:
recording.sample_rate = sample_rate
if recording.sample_rate is None:
raise click.ClickException(
"Recording metadata does not contain a sample rate. "
"Provide it with --sample-rate (e.g. --sample-rate 1e6)."
)
if not quiet:
click.echo("\nDetecting signals using threshold qualifier...")
click.echo(f" Threshold: {threshold * 100:.1f}% of max magnitude")
click.echo(f" Window size: {'auto (1ms)' if window_size is None else f'{window_size} samples'}")
click.echo(f" Channel: {channel}")
click.echo(f" Sample rate: {recording.sample_rate:.0f} Hz")
try:
initial_count = len(recording.annotations)
@ -758,13 +719,13 @@ def threshold(input, threshold, label, window_size, annotation_type, channel, sa
if not quiet:
click.echo(f" ✓ Added {added} annotation(s)")
save_recording_auto(recording, output, input, quiet, overwrite)
if not quiet:
click.echo(" ✓ Saved")
except Exception as e:
raise click.ClickException(f"Threshold detection failed: {e}")
save_recording_auto(recording, output, input, quiet, overwrite)
if not quiet:
click.echo(" ✓ Saved")
# ============================================================================
# Separate subcommand (Phase 2: Parallel signal separation)
@ -777,12 +738,11 @@ def threshold(input, threshold, label, window_size, annotation_type, channel, sa
@click.option("--nfft", type=int, default=65536, help="FFT size for spectral analysis")
@click.option("--noise-threshold-db", type=float, help="Noise floor threshold in dB (auto-estimated if not specified)")
@click.option("--min-component-bw", type=float, default=50e3, help="Min component bandwidth in Hz")
@click.option("--sample-rate", type=float, default=None, help="Sample rate in Hz (overrides metadata; required if not in file)")
@click.option("--output", "-o", type=click.Path(), help="Output file path")
@click.option("--overwrite", is_flag=True, help="Overwrite input file (non-SigMF only)")
@click.option("--quiet", is_flag=True, help="Quiet mode")
@click.option("--verbose", is_flag=True, help="Verbose output (show detected components)")
def separate(input, indices, nfft, noise_threshold_db, min_component_bw, sample_rate, output, overwrite, quiet, verbose):
def separate(input, indices, nfft, noise_threshold_db, min_component_bw, output, overwrite, quiet, verbose):
"""
Auto-detect parallel frequency-offset signals and split into sub-bands.
@ -808,8 +768,6 @@ def separate(input, indices, nfft, noise_threshold_db, min_component_bw, sample_
ria annotate separate signal.npy --min-component-bw 100000
"""
check_output_available(input, output, overwrite)
try:
recording = load_recording(input)
if not quiet:
@ -817,15 +775,6 @@ def separate(input, indices, nfft, noise_threshold_db, min_component_bw, sample_
except Exception as e:
raise click.ClickException(f"Failed to load recording: {e}")
if sample_rate is not None:
recording.sample_rate = sample_rate
if recording.sample_rate is None:
raise click.ClickException(
"Recording metadata does not contain a sample rate. "
"Provide it with --sample-rate (e.g. --sample-rate 1e6)."
)
# Parse indices if specified
indices_list = get_indices_list(indices=indices, recording=recording)
@ -872,9 +821,8 @@ def separate(input, indices, nfft, noise_threshold_db, min_component_bw, sample_
f"{format_sample_count(ann.sample_start + ann.sample_count)}: {freq_range}"
)
save_recording_auto(recording, output, input, quiet, overwrite)
if not quiet:
click.echo(" ✓ Saved")
except Exception as e:
raise click.ClickException(f"Spectral separation failed: {e}")
save_recording_auto(recording, output, input, quiet, overwrite)
if not quiet:
click.echo(" ✓ Saved")