feat: init

test/model/devices/daq/test_daq_base.py

@@ -0,0 +1,34 @@
+from navigate.model.devices.daq.synthetic import SyntheticDAQ
+from test.model.dummy import DummyModel
+import numpy as np
+
+
+def test_initialize_daq():
+    model = DummyModel()
+    SyntheticDAQ(model.configuration)
+
+
+def test_calculate_all_waveforms():
+    model = DummyModel()
+    daq = SyntheticDAQ(model.configuration)
+    microscope_state = model.configuration["experiment"]["MicroscopeState"]
+    microscope_name = microscope_state["microscope_name"]
+    exposure_times = {
+        k: v["camera_exposure_time"] / 1000
+        for k, v in microscope_state["channels"].items()
+    }
+    sweep_times = {
+        k: 2 * v["camera_exposure_time"] / 1000
+        for k, v in microscope_state["channels"].items()
+    }
+    waveform_dict = daq.calculate_all_waveforms(
+        microscope_name, exposure_times, sweep_times
+    )
+
+    for k, v in waveform_dict.items():
+        channel = microscope_state["channels"][k]
+        if not channel["is_selected"]:
+            continue
+        exposure_time = channel["camera_exposure_time"] / 1000
+        print(k, channel["is_selected"], np.sum(v > 0), exposure_time)
+        assert np.sum(v > 0) == daq.sample_rate * exposure_time

test/model/devices/daq/test_daq_ni.py

@@ -0,0 +1,78 @@
+# Copyright (c) 2021-2025  The University of Texas Southwestern Medical Center.
+# All rights reserved.
+
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted for academic and research use only (subject to the
+# limitations in the disclaimer below) provided that the following conditions are met:
+
+#      * Redistributions of source code must retain the above copyright notice,
+#      this list of conditions and the following disclaimer.
+
+#      * Redistributions in binary form must reproduce the above copyright
+#      notice, this list of conditions and the following disclaimer in the
+#      documentation and/or other materials provided with the distribution.
+
+#      * Neither the name of the copyright holders nor the names of its
+#      contributors may be used to endorse or promote products derived from this
+#      software without specific prior written permission.
+
+# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY
+# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
+# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
+# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
+# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR
+# BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER
+# IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+# POSSIBILITY OF SUCH DAMAGE.
+
+# Standard Library Imports
+
+# Third Party Imports
+import pytest
+
+# Local Imports
+
+
+@pytest.mark.hardware
+def test_initialize_daq_ni():
+    from navigate.model.devices.daq.ni import NIDAQ
+    from test.model.dummy import DummyModel
+
+    model = DummyModel()
+    daq = NIDAQ(model.configuration)
+    daq.camera_trigger_task = None
+
+
+@pytest.mark.hardware
+def test_daq_ni_functions():
+    from navigate.model.devices.daq.ni import NIDAQ
+    from test.model.dummy import DummyModel
+
+    model = DummyModel()
+    daq = NIDAQ(model.configuration)
+    microscope_name = model.configuration["experiment"]["MicroscopeState"][
+        "microscope_name"
+    ]
+
+    funcs = [
+        "enable_microscope",
+        "prepare_acquisition",
+        "run_acquisition",
+        "stop_acquisition",
+    ]
+    args = [
+        [microscope_name],
+        [list(daq.waveform_dict.keys())[0]],
+        None,
+        None,
+    ]
+
+    for f, a in zip(funcs, args):
+        if a is not None:
+            getattr(daq, f)(*a)
+        else:
+            getattr(daq, f)()

test/model/devices/daq/test_daq_synthetic.py

@@ -0,0 +1,40 @@
+def test_initialize_daq_synthetic():
+    from navigate.model.devices.daq.synthetic import SyntheticDAQ
+    from test.model.dummy import DummyModel
+
+    model = DummyModel()
+    _ = SyntheticDAQ(model.configuration)
+
+
+def test_synthetic_daq_functions():
+    import random
+
+    from navigate.model.devices.daq.synthetic import SyntheticDAQ
+    from test.model.dummy import DummyModel
+
+    model = DummyModel()
+    daq = SyntheticDAQ(model.configuration)
+    microscope_name = model.configuration["experiment"]["MicroscopeState"][
+        "microscope_name"
+    ]
+
+    funcs = [
+        "add_camera",
+        "prepare_acquisition",
+        "run_acquisition",
+        "stop_acquisition",
+        "wait_acquisition_done",
+    ]
+    args = [
+        [microscope_name, model.camera[microscope_name]],
+        [f"channel_{random.randint(1, 5)}"],
+        None,
+        None,
+        None,
+    ]
+
+    for f, a in zip(funcs, args):
+        if a is not None:
+            getattr(daq, f)(*a)
+        else:
+            getattr(daq, f)()