removed iq_channel_models in transform.py

removed view_annotations from view.py

pyproject.toml

@@ -101,6 +101,7 @@ pylint = "^3.2.6"  # For pyreverse, to automate the creation of UML diagrams
 
 [tool.poetry.scripts]
 ria = "ria_toolkit_oss.ria_toolkit_oss_cli.cli:cli"
+ria-tools = "ria_toolkit_oss.ria_toolkit_oss_cli.cli:cli"
 
 [tool.black]
 line-length = 119

src/ria_toolkit_oss/datatypes/recording.py

@@ -655,7 +655,6 @@ class Recording:
 
         return to_blue(recording=self, filename=filename, path=path, data_format=data_format, overwrite=overwrite)
 
-
     def trim(self, num_samples: int, start_sample: Optional[int] = 0) -> Recording:
         """Trim Recording samples to a desired length, shifting annotations to maintain alignment.
 

src/ria_toolkit_oss/io/recording.py

@@ -9,7 +9,6 @@ import os
 import re
 import struct
 from datetime import timezone
-from typing import Optional
 from typing import Any, List, Optional
 
 import numpy as np
@@ -21,7 +20,6 @@ from sigmf.utils import get_data_type_str
 from ria_toolkit_oss.datatypes import Annotation
 from ria_toolkit_oss.datatypes.recording import Recording
 
-
 _BLUE_META_PREFIX = "META_"
 _BLUE_META_TAG_MAX_LEN = 60
 _BLUE_SKIP_METADATA_KEYS = {"blue_data_format", "blue_endian", "blue_keywords"}

src/ria_toolkit_oss/ria_toolkit_oss_cli/ria_toolkit_oss/capture.py

@@ -238,6 +238,7 @@ def determine_output_format(output, output_format, output_dir):
 # Main command
 # ============================================================================
 
+
 @click.command()
 @click.argument("inputs", nargs=-1, required=True, type=click.Path(exists=True))
 @click.argument("output", nargs=1, required=True, type=click.Path())

src/ria_toolkit_oss/ria_toolkit_oss_cli/ria_toolkit_oss/combine.py

@@ -6,16 +6,16 @@ from pathlib import Path
 
 import click
 import numpy as np
-
+from ria_toolkit_oss_cli.ria_toolkit_oss.common import (
-from utils.data import Recording
-from utils.io import from_npy_legacy, load_recording
-from utils_cli.utils.common import (
     echo_progress,
     echo_verbose,
     format_sample_count,
     save_recording,
 )
 
+from ria_toolkit_oss.datatypes import Recording
+from ria_toolkit_oss.io import from_npy_legacy, load_recording
+
 
 def load_recording_list(inputs, legacy, verbose, quiet):
     recordings = []

src/ria_toolkit_oss/ria_toolkit_oss_cli/ria_toolkit_oss/commands.py

@@ -9,7 +9,8 @@ from .convert import convert
 
 # Import all command functions
 from .discover import discover
-from .generate import generate
+
+# from .generate import generate
 from .init import init
 from .split import split
 from .transform import transform
@@ -17,9 +18,7 @@ from .transmit import transmit
 from .view import view
 
 # Aliases
-synth = generate
+# synth = generate
 
 # All commands will be automatically registered by cli.py
 # Commands must be click.Command instances
-
-

src/ria_toolkit_oss/ria_toolkit_oss_cli/ria_toolkit_oss/common.py

@@ -8,7 +8,7 @@ import click
 import yaml
 
 from ria_toolkit_oss.datatypes.recording import Recording
-from src.ria_toolkit_oss.io.recording import to_blue, to_npy, to_sigmf, to_wav
+from ria_toolkit_oss.io.recording import to_blue, to_npy, to_sigmf, to_wav
 
 
 def load_yaml_config(config_file: str) -> Dict[str, Any]:

src/ria_toolkit_oss/ria_toolkit_oss_cli/ria_toolkit_oss/convert.py

@@ -4,8 +4,15 @@ import os
 from pathlib import Path
 
 import click
+from ria_toolkit_oss_cli.ria_toolkit_oss.common import (
+    check_for_overwriting,
+    detect_file_format,
+    echo_progress,
+    echo_verbose,
+    format_sample_count,
+)
 
-from utils.io.recording import (
+from ria_toolkit_oss.io.recording import (
     from_npy,
     load_recording,
     to_blue,
@@ -13,13 +20,6 @@ from utils.io.recording import (
     to_sigmf,
     to_wav,
 )
-from utils_cli.utils.common import (
-    check_for_overwriting,
-    detect_file_format,
-    echo_progress,
-    echo_verbose,
-    format_sample_count,
-)
 
 from .config import load_user_config
 

src/ria_toolkit_oss/ria_toolkit_oss_cli/ria_toolkit_oss/split.py

@@ -4,9 +4,7 @@ from pathlib import Path
 
 import click
 import numpy as np
-
+from ria_toolkit_oss_cli.ria_toolkit_oss.common import (
-from utils.io import from_npy_legacy, load_recording
-from utils_cli.utils.common import (
     detect_file_format,
     echo_progress,
     echo_verbose,
@@ -14,6 +12,8 @@ from utils_cli.utils.common import (
     save_recording,
 )
 
+from ria_toolkit_oss.io import from_npy_legacy, load_recording
+
 
 def get_output_extension(format_name):
     """Get file extension for format name."""

src/ria_toolkit_oss/ria_toolkit_oss_cli/ria_toolkit_oss/transform.py

@@ -7,17 +7,17 @@ import os
 from pathlib import Path
 
 import click
-
+from ria_toolkit_oss_cli.ria_toolkit_oss.common import (
-from utils.data.recording import Recording
-from utils.io.recording import load_recording
-from utils.transforms import iq_augmentations, iq_channel_models, iq_impairments
-from utils_cli.utils.common import (
     echo_progress,
     echo_verbose,
     format_sample_count,
     save_recording,
 )
 
+from ria_toolkit_oss.datatypes.recording import Recording
+from ria_toolkit_oss.io.recording import load_recording
+from ria_toolkit_oss.transforms import iq_augmentations, iq_impairments
+
 
 def get_available_transforms(module):
     """Get list of public transform functions from a module.
@@ -89,7 +89,7 @@ def show_transform_help(transform_name, func):
 def quick_view_transform(recording, output_path, title="Transform Result"):
     """Create a quick PNG visualization of transformed recording using constellation plot."""
     try:
-        from utils.view.view_signal_simple import view_simple_sig
+        from ria_toolkit_oss.view.view_signal_simple import view_simple_sig
 
         # Create PNG in same directory as output
         output_dir = Path(output_path).parent
@@ -249,6 +249,7 @@ def load_input(input, verbose):
     echo_verbose(f"Loaded {format_sample_count(recording.data.shape[-1])} samples", verbose)
     return recording
 
+
 @click.group()
 def transform():
     """Apply signal transformations to recordings.
@@ -264,16 +265,16 @@ def transform():
     \b
     Examples:
         # List available augmentations
-        utils transform augment --list
+        ria_toolkit_oss transform augment --list
     \b
         # Apply channel swap
-        utils transform augment channel_swap input.npy
+        ria_toolkit_oss transform augment channel_swap input.npy
     \b
         # Apply AWGN impairment
-        utils transform impair awgn input.npy --snr-db 15
+        ria_toolkit_oss transform impair awgn input.npy --snr-db 15
     \b
         # Apply Rayleigh fading channel
-        utils transform apply_channel rayleigh input.npy --num-paths 5
+        ria_toolkit_oss transform apply_channel rayleigh input.npy --num-paths 5
     """
     pass
 
@@ -299,19 +300,19 @@ def augment(augmentation, input, output, list_transforms, help_transform, params
 
       # List all augmentations
       \b
-      utils transform augment --list
+      ria_toolkit_oss transform augment --list
 
       # Show parameters for an augmentation
       \b
-      utils transform augment channel_swap --help-transform
+      ria_toolkit_oss transform augment channel_swap --help-transform
 
       # Apply augmentation
       \b
-      utils transform augment channel_swap input.npy
+      ria_toolkit_oss transform augment channel_swap input.npy
 
       # Apply with parameters and save visualization
       \b
-      utils transform augment drop_samples input.npy --params max_section_size=5 --view
+      ria_toolkit_oss transform augment drop_samples input.npy --params max_section_size=5 --view
     """
     available = get_available_transforms(iq_augmentations)
 
@@ -406,19 +407,19 @@ def impair(impairment, input, output, list_transforms, help_transform, params, v
 
       # List all impairments
       \b
-      utils transform impair --list
+      ria_toolkit_oss transform impair --list
 
       # Show parameters for an impairment
       \b
-      utils transform impair add_awgn_to_signal --help-transform
+      ria_toolkit_oss transform impair add_awgn_to_signal --help-transform
 
       # Apply impairment
       \b
-      utils transform impair add_awgn_to_signal input.npy --params snr=10
+      ria_toolkit_oss transform impair add_awgn_to_signal input.npy --params snr=10
 
       # Apply with visualization
       \b
-      utils transform impair add_phase_noise input.npy --params phase_variance=0.001 --view
+      ria_toolkit_oss transform impair add_phase_noise input.npy --params phase_variance=0.001 --view
     """
     available = get_available_transforms(iq_impairments)
 
@@ -514,10 +515,10 @@ def apply_channel(
 
     \b
     Examples:
-        utils transform apply_channel rayleigh_fading_channel input.npy --params num_paths=3 snr_db=15
+        ria_toolkit_oss transform apply_channel rayleigh_fading_channel input.npy --params num_paths=3 snr_db=15
 
     \b
-        utils transform apply_channel doppler_channel recordings/input.npy \\
+        ria_toolkit_oss transform apply_channel doppler_channel recordings/input.npy \\
         --params satellite_velocity=7500 \\
         --params satellite_initial_distance=400000 \\
         --params frequency=1e9 \\
@@ -637,19 +638,19 @@ def custom(
 
       # List all custom transforms in directory
       \b
-      utils transform custom --transform-dir ~/my_transforms --list
+      ria_toolkit_oss transform custom --transform-dir ~/my_transforms --list
 
       # Show parameters for a transform
       \b
-      utils transform custom my_filter --transform-dir ~/my_transforms --help-transform
+      ria_toolkit_oss transform custom my_filter --transform-dir ~/my_transforms --help-transform
 
       # Apply custom transform
       \b
-      utils transform custom my_filter input.npy --transform-dir ~/my_transforms
+      ria_toolkit_oss transform custom my_filter input.npy --transform-dir ~/my_transforms
 
       # With parameters and visualization
       \b
-      utils transform custom my_filter input.npy --transform-dir ~/my_transforms \\
+      ria_toolkit_oss transform custom my_filter input.npy --transform-dir ~/my_transforms \\
         --params cutoff_freq=5000 order=4 --view
     """
     try:

src/ria_toolkit_oss/ria_toolkit_oss_cli/ria_toolkit_oss/transmit.py

@@ -6,8 +6,8 @@ import time
 
 import click
 
-from utils.data import Recording
+from ria_toolkit_oss.datatypes import Recording
-from utils.io import from_npy_legacy, load_recording
+from ria_toolkit_oss.io import from_npy_legacy, load_recording
 
 from .common import (
     echo_progress,

src/ria_toolkit_oss/ria_toolkit_oss_cli/ria_toolkit_oss/view.py

@@ -6,9 +6,9 @@ from typing import Optional
 
 import click
 
-from utils.io.recording import from_npy, load_recording
+from ria_toolkit_oss.io.recording import from_npy, load_recording
-from utils.view.view_signal import view_annotations, view_channels, view_sig
+from ria_toolkit_oss.view.view_signal import view_channels, view_sig
-from utils.view.view_signal_simple import view_simple_sig
+from ria_toolkit_oss.view.view_signal_simple import view_simple_sig
 
 from .common import echo_progress, echo_verbose, load_yaml_config
 
@@ -34,11 +34,6 @@ VISUALIZATION_TYPES = {
             "spines",
         ],
     },
-    "annotations": {
-        "function": view_annotations,
-        "description": "Annotation-focused spectrogram view",
-        "options": ["channel", "dark"],
-    },
     "channels": {"function": view_channels, "description": "Multi-channel IQ and spectrogram view", "options": []},
 }
 

src/ria_toolkit_oss/view/view_signal.py

@@ -38,6 +38,7 @@ def set_spines(ax, spines):
         ax.spines["bottom"].set_visible(False)
         ax.spines["left"].set_visible(False)
 
+
 def view_channels(
     recording: Recording,
     output_path: Optional[str] = "images/signal.png",