src/ria_toolkit_oss/datatypes/recording.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import copy
+import datetime
 import hashlib
 import json
 import os
@@ -11,6 +12,7 @@ from typing import Any, Iterator, Optional
 
 import numpy as np
 from numpy.typing import ArrayLike
+from quantiphy import Quantity
 
 from ria_toolkit_oss.datatypes.annotation import Annotation
 
@@ -448,9 +450,7 @@ class Recording:
         else:
             raise ValueError(f"Key {key} is protected and cannot be modified or removed.")
 
-    def to_sigmf(
-        self, filename: Optional[str] = None, path: Optional[os.PathLike | str] = None, overwrite: bool = False
-    ) -> None:
+    def to_sigmf(self, filename: Optional[str] = None, path: Optional[os.PathLike | str] = None) -> None:
         """Write recording to a set of SigMF files.
 
         The SigMF io format is defined by the `SigMF Specification Project <https://github.com/sigmf/SigMF>`_
@@ -468,11 +468,9 @@ class Recording:
         """
         from ria_toolkit_oss.io.recording import to_sigmf
 
-        to_sigmf(filename=filename, path=path, recording=self, overwrite=overwrite)
+        to_sigmf(filename=filename, path=path, recording=self)
 
-    def to_npy(
-        self, filename: Optional[str] = None, path: Optional[os.PathLike | str] = None, overwrite: bool = False
-    ) -> str:
+    def to_npy(self, filename: Optional[str] = None, path: Optional[os.PathLike | str] = None) -> str:
         """Write recording to ``.npy`` binary file.
 
         :param filename: The name of the file where the recording is to be saved. Defaults to auto generated filename.
@@ -503,7 +501,7 @@ class Recording:
         """
         from ria_toolkit_oss.io.recording import to_npy
 
-        to_npy(recording=self, filename=filename, path=path, overwrite=overwrite)
+        to_npy(recording=self, filename=filename, path=path)
 
     def trim(self, num_samples: int, start_sample: Optional[int] = 0) -> Recording:
         """Trim Recording samples to a desired length, shifting annotations to maintain alignment.
@@ -596,6 +594,40 @@ class Recording:
         scaled_data = self.data / np.max(abs(self.data))
         return Recording(data=scaled_data, metadata=self.metadata, annotations=self.annotations)
 
+    def generate_filename(self, tag: Optional[str] = "rec"):
+        """Generate a filename from metadata.
+
+        :param tag: The string at the beginning of the generated filename. Default is "rec".
+        :type tag: str, optional
+
+        :return: A filename without an extension.
+        :rtype: str
+        """
+        # TODO: This method should be refactored to use the first 7 characters of the 'rec_id' field.
+
+        tag = tag + "_"
+        source = self.metadata.get("source", "")
+        if source != "":
+            source = source + "_"
+
+        # converts 1000 to 1k for example
+        center_frequency = str(Quantity(self.metadata.get("center_frequency", 0)))
+        if center_frequency != "0":
+            num = center_frequency[:-1]
+            suffix = center_frequency[-1]
+            num = int(np.round(float(num)))
+        else:
+            num = 0
+            suffix = ""
+        center_frequency = str(num) + suffix + "Hz_"
+
+        timestamp = int(self.timestamp)
+        timestamp = datetime.datetime.fromtimestamp(timestamp).strftime("%Y-%m-%d_%H-%M-%S") + "_"
+
+        # Add first seven characters of rec_id for uniqueness
+        rec_id = self.rec_id[0:7]
+        return tag + source + center_frequency + timestamp + rec_id
+
     def __len__(self) -> int:
         """The length of a recording is defined by the number of complex samples in each channel of the recording."""
         return self.shape[1]

src/ria_toolkit_oss/io/recording.py

@@ -2,7 +2,6 @@
 Utilities for input/output operations on the ria_toolkit_oss.datatypes.Recording object.
 """
 
-import datetime
 import datetime as dt
 import os
 from datetime import timezone
@@ -10,7 +9,6 @@ from typing import Optional
 
 import numpy as np
 import sigmf
-from quantiphy import Quantity
 from sigmf import SigMFFile, sigmffile
 from sigmf.utils import get_data_type_str
 
@@ -94,12 +92,7 @@ def convert_to_serializable(obj):
         raise TypeError(f"Value of type {type(obj)} is not JSON serializable: {obj}")
 
 
-def to_sigmf(
-    recording: Recording,
-    filename: Optional[str] = None,
-    path: Optional[os.PathLike | str] = None,
-    overwrite: bool = False,
-) -> None:
+def to_sigmf(recording: Recording, filename: Optional[str] = None, path: Optional[os.PathLike | str] = None) -> None:
     """Write recording to a set of SigMF files.
 
     The SigMF io format is defined by the `SigMF Specification Project <https://github.com/sigmf/SigMF>`_
@@ -128,7 +121,7 @@ def to_sigmf(
     if filename is not None:
         filename, _ = os.path.splitext(filename)
     else:
-        filename = generate_filename(recording=recording)
+        filename = recording.generate_filename()
 
     if path is None:
         path = "recordings"
@@ -147,13 +140,6 @@ def to_sigmf(
         samples = multichannel_samples[0]
 
     data_file_path = os.path.join(path, f"{filename}.sigmf-data")
-    meta_file_path = os.path.join(path, f"{filename}.sigmf-meta")
-
-    if not overwrite:
-        if os.path.isfile(data_file_path):
-            raise IOError("File already exists")
-        if os.path.isfile(meta_file_path):
-            raise IOError("File already exists")
 
     samples.tofile(data_file_path)
     global_info = {
@@ -202,7 +188,7 @@ def to_sigmf(
     meta_dict = sigMF_metafile.ordered_metadata()
     meta_dict["ria"] = metadata
 
-    sigMF_metafile.tofile(meta_file_path)
+    sigMF_metafile.tofile(f"{os.path.join(path, filename)}.sigmf-meta")
 
 
 def from_sigmf(file: os.PathLike | str) -> Recording:
@@ -264,12 +250,7 @@ def from_sigmf(file: os.PathLike | str) -> Recording:
     return output_recording
 
 
-def to_npy(
-    recording: Recording,
-    filename: Optional[str] = None,
-    path: Optional[os.PathLike | str] = None,
-    overwrite: bool = False,
-) -> str:
+def to_npy(recording: Recording, filename: Optional[str] = None, path: Optional[os.PathLike | str] = None) -> str:
     """Write recording to ``.npy`` binary file.
 
     :param recording: The recording to be written to file.
@@ -296,7 +277,7 @@ def to_npy(
     if filename is not None:
         filename, _ = os.path.splitext(filename)
     else:
-        filename = generate_filename(recording=recording)
+        filename = recording.generate_filename()
     filename = filename + ".npy"
 
     if path is None:
@@ -306,10 +287,6 @@ def to_npy(
         os.makedirs(path)
     fullpath = os.path.join(path, filename)
 
-    if not overwrite:
-        if os.path.isfile(fullpath):
-            raise IOError("File already exists")
-
     data = np.array(recording.data)
     metadata = recording.metadata
     annotations = recording.annotations
@@ -353,37 +330,3 @@ def from_npy(file: os.PathLike | str) -> Recording:
 
     recording = Recording(data=data, metadata=metadata, annotations=annotations)
     return recording
-
-
-def generate_filename(recording: Recording, tag: Optional[str] = "rec"):
-    """Generate a filename from metadata.
-
-    :param tag: The string at the beginning of the generated filename. Default is "rec".
-    :type tag: str, optional
-
-    :return: A filename without an extension.
-    :rtype: str
-    """
-
-    tag = tag + "_"
-    source = recording.metadata.get("source", "")
-    if source != "":
-        source = source + "_"
-
-    # converts 1000 to 1k for example
-    center_frequency = str(Quantity(recording.metadata.get("center_frequency", 0)))
-    if center_frequency != "0":
-        num = center_frequency[:-1]
-        suffix = center_frequency[-1]
-        num = int(np.round(float(num)))
-    else:
-        num = 0
-        suffix = ""
-    center_frequency = str(num) + suffix + "Hz_"
-
-    timestamp = int(recording.timestamp)
-    timestamp = datetime.datetime.fromtimestamp(timestamp).strftime("%Y-%m-%d_%H-%M-%S") + "_"
-
-    # Add first seven characters of rec_id for uniqueness
-    rec_id = recording.rec_id[0:7]
-    return tag + source + center_frequency + timestamp + rec_id

tests/io/test_recording_io.py

@@ -28,7 +28,7 @@ def test_npy_save_1(tmp_path):
 
     # Save to tmp_path
     filename = tmp_path / "test"
-    to_npy(filename=filename.name, path=tmp_path, recording=recording1, overwrite=True)
+    to_npy(filename=filename.name, path=tmp_path, recording=recording1)
 
     # Reload
     recording2 = from_npy(filename)
@@ -44,7 +44,7 @@ def test_npy_save_2(tmp_path):
 
     # Save to tmp_path
     filename = tmp_path / "test"
-    to_npy(filename=filename.name, path=tmp_path, recording=recording1, overwrite=True)
+    to_npy(filename=filename.name, path=tmp_path, recording=recording1)
 
     # Reload
     recording2 = from_npy(filename)
@@ -63,7 +63,7 @@ def test_npy_save_3(tmp_path):
 
     # Save to tmp_path
     filename = tmp_path / "test"
-    to_npy(filename=filename.name, path=tmp_path, recording=recording1, overwrite=True)
+    to_npy(filename=filename.name, path=tmp_path, recording=recording1)
 
     # Reload
     recording2 = from_npy(filename)
@@ -73,15 +73,6 @@ def test_npy_save_3(tmp_path):
     assert recording1.metadata == recording2.metadata
 
 
-def test_npy_save_4(tmp_path):
-    recording1 = Recording(data=nd_complex_data_1)
-    try:
-        filename = tmp_path / "test"
-        to_npy(filename=filename.name, path=tmp_path, recording=recording1)
-    except IOError as e:
-        assert str(e) == "File already exists"
-
-
 def test_npy_annotations(tmp_path):
     # Create annotations
     annotation1 = Annotation(sample_start=0, sample_count=100, freq_lower_edge=0, freq_upper_edge=100)
@@ -93,7 +84,7 @@ def test_npy_annotations(tmp_path):
 
     # Save to tmp_path
     filename = tmp_path / "test"
-    to_npy(filename=filename.name, path=tmp_path, recording=recording1, overwrite=True)
+    to_npy(filename=filename.name, path=tmp_path, recording=recording1)
 
     # Reload
     recording2 = from_npy(filename)
@@ -113,7 +104,7 @@ def test_load_recording_npy(tmp_path):
 
     # Save to tmp_path
     filename = tmp_path / "test.npy"
-    recording1.to_npy(path=tmp_path, filename=filename.name, overwrite=True)
+    recording1.to_npy(path=tmp_path, filename=filename.name)
 
     # Load from tmp_path
     recording2 = load_rec(filename)
@@ -139,7 +130,7 @@ def test_sigmf_1(tmp_path):
 
     # Save to tmp_path in SigMF format
     filename = tmp_path / "test"
-    to_sigmf(recording=recording1, path=tmp_path, filename=filename.name, overwrite=True)
+    to_sigmf(recording=recording1, path=tmp_path, filename=filename.name)
 
     # Reload
     recording2 = from_sigmf(filename)
@@ -167,7 +158,7 @@ def test_sigmf_2(tmp_path):
 
     # Save to tmp_path using the base name
     filename = tmp_path / "test"
-    to_sigmf(recording=recording1, path=tmp_path, filename=filename.name, overwrite=True)
+    to_sigmf(recording=recording1, path=tmp_path, filename=filename.name)
 
     # Load from tmp_path; from_sigmf expects the base name
     recording2 = from_sigmf(filename)
@@ -180,12 +171,3 @@ def test_sigmf_2(tmp_path):
     )
 
     assert np.array_equal(recording1.data, recording2.data)
-
-
-def test_sigmf_3(tmp_path):
-    recording1 = Recording(data=complex_data_1, metadata=sample_metadata)
-    try:
-        filename = tmp_path / "test"
-        to_sigmf(recording=recording1, path=tmp_path, filename=filename.name)
-    except IOError as e:
-        assert str(e) == "File already exists"