5c65a60eab
This patch shows an example of how to use the timer behavior external tool testing, using the Saleae Logic 2 application. Also, some board overlays were added as examples. Finally, testcase.yaml updated with parameters for the Saleae sample. Signed-off-by: Ederson de Souza <ederson.desouza@intel.com>
89 lines
3.1 KiB
Python
89 lines
3.1 KiB
Python
# Copyright (c) 2023 Intel Corporation
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#
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# SPDX-License-Identifier: Apache-2.0
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# Sample code showing an external tool Python module helper for Saleae Logic 2
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# compatible logic analyzer.
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# To use it, the Saleae Logic 2 Automation server must be enabled. For more
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# information on it, check
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# https://saleae.github.io/logic2-automation/getting_started.html
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import numpy as np
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import tempfile
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from pathlib import Path
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from saleae import automation
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from saleae.automation import (CaptureConfiguration, LogicDeviceConfiguration,
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DigitalTriggerCaptureMode, DigitalTriggerType)
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def do_collection(device_id, port, channel, sample_rate, threshold_volts,
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seconds, output_dir):
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with automation.Manager.connect(port=port) as manager:
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device_configuration = LogicDeviceConfiguration(
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enabled_digital_channels=[channel],
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digital_sample_rate=sample_rate,
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digital_threshold_volts=threshold_volts,
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)
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capture_mode = DigitalTriggerCaptureMode(DigitalTriggerType.RISING,
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channel,
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after_trigger_seconds=seconds)
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capture_configuration = CaptureConfiguration(capture_mode=capture_mode)
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with manager.start_capture(
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device_id=device_id,
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device_configuration=device_configuration,
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capture_configuration=capture_configuration) as capture:
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capture.wait()
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capture.export_raw_data_csv(directory=output_dir,
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digital_channels=[channel])
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def do_analysis(output_dir):
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file_name = Path(output_dir) / 'digital.csv'
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all_data = np.loadtxt(file_name, delimiter=',', skiprows=1, usecols=0)
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# Pre trigger data is negative on CSV
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non_negative = all_data[all_data >= 0]
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# Last sample is just captured at last moment of capture, not related
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# to gpio toggle. Discard it
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data = non_negative[:-1]
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diff = np.diff(data)
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mean = np.mean(diff)
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std = np.std(diff)
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var = np.var(diff)
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minimum = np.min(diff)
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maximum = np.max(diff)
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total_time = data[-1]
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return {'mean': mean, 'stddev': std, 'var': var, 'min': minimum,
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'max': maximum, 'total_time': total_time}
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# options should be a string of the format:
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# [device-id=<device_id>,]port=<saleae_logic2_server_port>,
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# channel=<channel_number>,sample-rate=<sample-rate>,
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# threshold-volts=<threshold-volts>
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def run(seconds, options):
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options = [i for p in options.split(',') for i in p.split('=')]
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options = dict(zip(options[::2], options[1::2]))
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device_id = options.get('device-id')
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port = int(options.get('port'))
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channel = int(options.get('channel'))
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sample_rate = int(options.get('sample-rate'))
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threshold_volts = float(options.get('threshold-volts'))
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with tempfile.TemporaryDirectory() as output_dir:
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output_dir = tempfile.mkdtemp()
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# Add one second to ensure all data is captured
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do_collection(device_id, port, channel, sample_rate, threshold_volts,
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seconds + 1, output_dir)
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return do_analysis(output_dir)
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