diff --git a/efel/.gitignore b/efel/.gitignore index 8c2edabe..710993b2 100644 --- a/efel/.gitignore +++ b/efel/.gitignore @@ -1,2 +1,3 @@ *.pyc cppcore.so +*.ipynb_checkpoints/ \ No newline at end of file diff --git a/efel/io.py b/efel/io.py index 6aae477a..3fc58df7 100644 --- a/efel/io.py +++ b/efel/io.py @@ -19,6 +19,8 @@ along with this library; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. """ +import csv +import json from pathlib import Path import neo import numpy as np @@ -207,3 +209,34 @@ def load_neo_file(file_name: str, stim_start=None, stim_end=None, **kwargs) -> l efel_blocks.append(efel_segments) return efel_blocks + + +def save_feature_to_json(feature_values, filename): + """Save feature values as a JSON file.""" + class NumpyEncoder(json.JSONEncoder): + def default(self, o): + if isinstance(o, np.integer): + return int(o) + elif isinstance(o, np.floating): + return float(o) + elif isinstance(o, np.ndarray): + return o.tolist() + else: + return super().default(o) + + with open(filename, 'w') as f: + json.dump(feature_values, f, cls=NumpyEncoder) + + +def save_feature_to_csv(feature_values, filename): + """Save feature values as a CSV file.""" + with open(filename, 'w', newline='') as f: + writer = csv.writer(f) + writer.writerow(feature_values.keys()) + max_list_length = max(len(value) if isinstance(value, (list, np.ndarray)) + else 1 for value in feature_values.values()) + for i in range(max_list_length): + row_data = [value[i] if isinstance(value, (list, np.ndarray)) + and i < len(value) else '' + for value in feature_values.values()] + writer.writerow(row_data) diff --git a/efel/settings.py b/efel/settings.py index 481d16d0..295f5275 100644 --- a/efel/settings.py +++ b/efel/settings.py @@ -116,20 +116,41 @@ def set_setting(self, if hasattr(self, setting_name): expected_types = {f.name: f.type for f in fields(self)} expected_type = expected_types.get(setting_name) - if expected_type and not isinstance(new_value, expected_type): + if expected_type is None: + raise TypeError(f"type not found for setting '{setting_name}'") + try: + converted_value = expected_type(new_value) + if not isinstance(new_value, expected_type): + log_message = ( + "Value '%s' of type '%s' for setting '%s' " + "has been converted to '%s' of type '%s'." + ) % ( + new_value, + type(new_value).__name__, + setting_name, + converted_value, + expected_type.__name__ + ) + if expected_type is int and isinstance(new_value, float) and \ + new_value != converted_value: + logger.warning(log_message) + else: + logger.debug(log_message) + except (ValueError, TypeError): raise ValueError(f"Invalid value for setting '{setting_name}'. " f"Expected type: {expected_type.__name__}.") else: logger.debug("Setting '%s' not found in settings. " "Adding it as a new setting.", setting_name) + converted_value = new_value if setting_name == "dependencyfile_path": - path = Path(str(new_value)) + path = Path(str(converted_value)) if not path.exists(): - raise FileNotFoundError(f"Path to dependency file {new_value}" + raise FileNotFoundError(f"Path to dependency file {converted_value}" "doesn't exist") - setattr(self, setting_name, new_value) + setattr(self, setting_name, converted_value) def reset_to_default(self): """Reset settings to their default values""" diff --git a/examples/neo/load_nwb.ipynb b/examples/neo/load_nwb.ipynb index c83e15b2..dc29ede8 100644 --- a/examples/neo/load_nwb.ipynb +++ b/examples/neo/load_nwb.ipynb @@ -130,20 +130,14 @@ { "data": { "text/plain": [ - "{'spikes_per_burst': [4],\n", - " 'strict_burst_number': [1],\n", - " 'strict_burst_mean_freq': [28.964518464873937],\n", - " 'peak_time': [330.4000000000066,\n", - " 343.20000000000954,\n", - " 382.7000000000185,\n", - " 468.500000000038],\n", - " 'AP_height': [11.400000572174852,\n", - " 11.712499618465365,\n", - " 12.237500190711486,\n", - " 12.19999980918174],\n", - " 'peak_indices': [3304, 3432, 3827, 4685],\n", - " 'burst_begin_indices': [0],\n", - " 'burst_end_indices': [3]}" + "{'spikes_per_burst': array([4]),\n", + " 'strict_burst_number': array([1]),\n", + " 'strict_burst_mean_freq': array([28.96451846]),\n", + " 'peak_time': array([330.4, 343.2, 382.7, 468.5]),\n", + " 'AP_height': array([11.40000057, 11.71249962, 12.23750019, 12.19999981]),\n", + " 'peak_indices': array([3304, 3432, 3827, 4685]),\n", + " 'burst_begin_indices': array([0]),\n", + " 'burst_end_indices': array([3])}" ] }, "execution_count": 6, @@ -155,7 +149,6 @@ "efel.set_setting(\"ignore_first_ISI\", False) # Don't ignore the first spike\n", "efel.set_setting(\"strict_burst_factor\", 4.0) # The burst detection can be fine-tuned by changing the setting strict_burst_factor. Default value is 2.0.\n", "feature_values = efel.get_feature_values([trace], ['spikes_per_burst', 'strict_burst_number', 'strict_burst_mean_freq', 'peak_time', 'AP_height', 'peak_indices', 'burst_begin_indices', 'burst_end_indices'])[0]\n", - "feature_values = {feature_name: list(values) for feature_name, values in feature_values.items()}\n", "feature_values" ] }, @@ -166,7 +159,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -201,10 +194,27 @@ "plt.text((burst_start + burst_end) / 2, max(voltage_spike), f'Burst Mean Freq: {mean_frequency:.2f} Hz', horizontalalignment='center', color='black')\n", "\n", "plt.legend()\n", - "plt.xlabel('Time (s)')\n", + "plt.xlabel('Time (ms)')\n", "plt.ylabel('Voltage (mV)')\n", "plt.show()" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can save the feature values obtained from `get_feature_values` for later use. Two functions, `save_feature_values_to_json` and `save_feature_values_to_csv`, are provided for this purpose. They save the feature values as a JSON file and a CSV file, respectively." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "efel.io.save_feature_to_json(feature_values, 'output.json')\n", + "efel.io.save_feature_to_csv(feature_values, 'output.csv')" + ] } ], "metadata": { diff --git a/tests/test_io.py b/tests/test_io.py index 4524216a..67e8ba77 100644 --- a/tests/test_io.py +++ b/tests/test_io.py @@ -294,3 +294,61 @@ def test_load_neo_file_nwb(): for trace in traces: assert trace['stim_start'] == [250] assert trace['stim_end'] == [600] + + +@pytest.fixture(params=['tmp.json', 'tmp.csv']) +def filename(request): + yield request.param + if os.path.exists(request.param): + os.remove(request.param) + + +def load_data(filename): + import csv + import json + if filename.endswith('.json'): + with open(filename, 'r') as f: + return json.load(f) + elif filename.endswith('.csv'): + loaded_data = {} + with open(filename, 'r') as f: + reader = csv.reader(f) + header = next(reader) + for col_name in header: + loaded_data[col_name] = [] + + for row in reader: + for col_name, value in zip(header, row): + if value != '': + loaded_data[col_name].append(float(value)) + + for loaded_key in loaded_data.keys(): + if not loaded_data[loaded_key]: + loaded_data[loaded_key] = None + return loaded_data + + +@pytest.mark.parametrize("index", [2, 3, 5]) +def test_save_feature(filename, index): + """Test saving of the features to file.""" + import efel + blocks = efel.io.load_neo_file(nwb1_filename, 250, 600) + trace = blocks[0][0][index] + features = ['peak_time', 'AP_height', 'peak_indices', 'spikes_per_burst'] + feature_values = efel.get_feature_values([trace], features)[0] + + if filename.endswith('.json'): + efel.io.save_feature_to_json(feature_values, filename) + elif filename.endswith('.csv'): + efel.io.save_feature_to_csv(feature_values, filename) + + assert os.path.exists(filename) + loaded_data = load_data(filename) + for key in feature_values.keys(): + if feature_values[key] is not None and loaded_data[key]: + assert np.allclose(feature_values[key], + loaded_data[key], + rtol=1e-05, + atol=1e-08) + else: + assert feature_values[key] == loaded_data[key] diff --git a/tests/test_settings.py b/tests/test_settings.py index ffe2545d..d4d71037 100644 --- a/tests/test_settings.py +++ b/tests/test_settings.py @@ -35,6 +35,7 @@ from efel.settings import Settings from efel.api import set_setting, get_settings +import logging def test_set_setting(): @@ -44,12 +45,66 @@ def test_set_setting(): assert settings.Threshold == -30.0 +@pytest.mark.parametrize("setting_name, new_value, converted_value, expected_type", [ + ("Threshold", "-30.0", -30.0, float), + ("strict_stiminterval", 0, False, bool), + ("initburst_freq_threshold", -50.9, -50, int), + ("initburst_sahp_start", 5.5, 5, int) +]) +def test_set_setting_conversion(caplog, + setting_name, + new_value, + converted_value, + expected_type): + """Test that the set_setting method correctly updates a setting + and logs a debug warning when converting types.""" + settings = Settings() + + if setting_name == "initburst_freq_threshold": + logger_level = logging.WARNING + else: + logger_level = logging.DEBUG + + with caplog.at_level(logger_level): + settings.set_setting(setting_name, new_value) + + expected_log_message = ( + "Value '%s' of type '%s' for setting '%s' " + "has been converted to '%s' of type '%s'." % ( + new_value, + type(new_value).__name__, + setting_name, + converted_value, + expected_type.__name__ + ) + ) + assert any(record.message == expected_log_message for record in caplog.records) + + +def test_set_setting_new_setting(caplog): + """Test that the set_setting method correctly adds a new setting + when the setting is not present.""" + settings = Settings() + setting_name = "stim_start" + new_value = 100 + + with caplog.at_level(logging.DEBUG): + settings.set_setting(setting_name, new_value) + + assert getattr(settings, setting_name) == new_value + expected_log_message = ( + "Setting '%s' not found in settings. " + "Adding it as a new setting." % setting_name + ) + assert any(record.message == expected_log_message for record in caplog.records) + assert getattr(settings, setting_name) == new_value + + def test_set_setting_invalid_type(): - """Test that the set_setting method raises a ValueError - when given an invalid type.""" + """Test that the set_setting raises a ValueError when given an invalid type.""" settings = Settings() with pytest.raises(ValueError): - settings.set_setting("Threshold", "-30.0") + settings.set_setting("Threshold", [-30.0]) def test_set_setting_dependencyfile_path_not_found():