diff --git a/ale/drivers/selene_drivers.py b/ale/drivers/selene_drivers.py
index 91f012505854e94d9a530517b79cbea385bcd81c..ab134cf8b20ca54b6573f0ea3c61ce9356cfb60e 100644
--- a/ale/drivers/selene_drivers.py
+++ b/ale/drivers/selene_drivers.py
@@ -812,3 +812,15 @@ class KaguyaMiPds3NaifSpiceDriver(LineScanner, Pds3Label, NaifSpice, Driver):
"boresight_y" : self.boresight_y
}
}
+
+ @property
+ def sensor_model_version(self):
+ """
+ Returns
+ -------
+ : int
+ ISIS sensor model version
+ """
+ return 1
+
+
diff --git a/tests/pytests/data/isds/kaguyami_isd.json b/tests/pytests/data/isds/kaguyami_isd.json
new file mode 100644
index 0000000000000000000000000000000000000000..dc629c0e1693c8a5a099fdab5044904a3ed3188f
--- /dev/null
+++ b/tests/pytests/data/isds/kaguyami_isd.json
@@ -0,0 +1,769 @@
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diff --git a/tests/pytests/data/isds/kaguyatc_isd.json b/tests/pytests/data/isds/kaguyatc_isd.json
new file mode 100644
index 0000000000000000000000000000000000000000..97c62f25c4ce67a90f9bb757e41e30b39903ab15
--- /dev/null
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+ ],
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+ "BODY_CODE": 301,
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+ "INS-131351_BORESIGHT": [
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+ 0.0214,
+ 72.45
+ ],
+ "INS-131351_PIXEL_SIZE": 0.007,
+ "INS-131351_FOCAL_LENGTH": 72.45,
+ "INS-131351_FOV_SHAPE": "RECTANGLE",
+ "INS-131351_PIXEL_LINES": 1.0,
+ "INS-131351_F_NUMBER": 4.0,
+ "INS-131351_TRANSX": [
+ 0.0,
+ 0.0,
+ -0.007
+ ],
+ "INS-131351_TRANSY": [
+ 0.0,
+ -0.007,
+ 0.0
+ ],
+ "INS-131351_DISTORTION_COEF_X": [
+ -0.0009649900000000001,
+ 0.00098441,
+ 8.5773e-06,
+ -3.7438e-06
+ ],
+ "INS-131351_DISTORTION_COEF_Y": [
+ -0.0013796,
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+ ],
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+ 0.0,
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+ ],
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+ ],
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+ "INS-131351_SWAP_OBSERVER_TARGET": "TRUE",
+ "INS-131351_LIGHTTIME_CORRECTION": "LT+S",
+ "INS-131351_FOV_BOUNDARY_CORNERS": [
+ -0.069,
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+ ],
+ "BODY301_POLE_RA": [
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+ 0.0031,
+ 0.0
+ ],
+ "BODY301_NUT_PREC_PM": [
+ 3.561,
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+ 0.0252,
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+ ],
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+ "BODY301_NUT_PREC_DEC": [
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+ 0.0008
+ ],
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+ 0.0
+ ],
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+ 13.17635815,
+ -1.3999999999999999e-12
+ ]
+ },
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+ "detector_line_summing": 1,
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+ "focal_length": 72.45
+ },
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+ "line": 0.5,
+ "sample": 2048.0
+ },
+ "starting_detector_line": 1,
+ "starting_detector_sample": 0.5,
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+ 0,
+ 142.85714285714286,
+ 0
+ ],
+ "focal2pixel_samples": [
+ 0,
+ 0,
+ -142.85714285714286
+ ],
+ "optical_distortion": {
+ "kaguyalism": {
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+ -3.7438e-06
+ ],
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+ }
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+ "image_samples": 3208,
+ "name_platform": "SELENE-M",
+ "name_sensor": "Terrain Camera 1",
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+ "minheight": -1000,
+ "unit": "m"
+ },
+ "name_model": "USGS_ASTRO_LINE_SCANNER_SENSOR_MODEL",
+ "interpolation_method": "lagrange",
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+ 0.006500000000000001
+ ]
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+ "semiminor": 1737.4,
+ "unit": "km"
+ },
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+ "TimeDependentFrames": [
+ -131000,
+ 1
+ ],
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+ ],
+ "CkTableStartTime": 292234259.82293594,
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+ "CkTableOriginalSize": 6,
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+ ]
+ ],
+ "AngularVelocity": [
+ [
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+ ]
+ },
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+ "SpkTableStartTime": 292234259.82293594,
+ "SpkTableEndTime": 292234262.42293596,
+ "SpkTableOriginalSize": 6,
+ "EphemerisTimes": [
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+ "SunPosition": {
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+ "SpkTableEndTime": 292234261.12293595,
+ "SpkTableOriginalSize": 1,
+ "EphemerisTimes": [
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+ ],
+ "Positions": [
+ [
+ 144178551.68571115,
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+ ],
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+}
diff --git a/tests/pytests/test_formatter.py b/tests/pytests/test_formatter.py
new file mode 100644
index 0000000000000000000000000000000000000000..1f63d02b4acc36454b76c00fd1af5d59f029de88
--- /dev/null
+++ b/tests/pytests/test_formatter.py
@@ -0,0 +1,350 @@
+import pytest
+import json
+import numpy as np
+
+from ale.formatters import formatter
+from ale.base.base import Driver
+from ale.base.type_sensor import LineScanner, Framer
+from ale.transformation import FrameChain
+from ale.base.data_naif import NaifSpice
+from ale.rotation import ConstantRotation, TimeDependentRotation
+
+class TestDriver(Driver, NaifSpice):
+ """
+ Test Driver implementation with dummy values
+ """
+ @property
+ def target_body_radii(self):
+ return (1100, 1100, 1000)
+
+ @property
+ def frame_chain(self):
+ frame_chain = FrameChain()
+
+ body_rotation = TimeDependentRotation(
+ np.array([[0, 0, 0, 1], [0, 0, 0, 1]]),
+ np.array([800, 900]),
+ 100,
+ 1
+ )
+ frame_chain.add_edge(rotation=body_rotation)
+
+ spacecraft_rotation = TimeDependentRotation(
+ np.array([[0, 0, 0, 1], [0, 0, 0, 1]]),
+ np.array([800, 900]),
+ 1000,
+ 1
+ )
+ frame_chain.add_edge(rotation=spacecraft_rotation)
+
+ sensor_rotation = ConstantRotation(np.array([0, 0, 0, 1]), 1010, 1000)
+ frame_chain.add_edge(rotation=sensor_rotation)
+ return frame_chain
+
+ @property
+ def sample_summing(self):
+ return 2
+
+ @property
+ def line_summing(self):
+ return 4
+
+ @property
+ def focal_length(self):
+ return 500
+
+ @property
+ def detector_center_sample(self):
+ return 512
+
+ @property
+ def detector_start_line(self):
+ return 0
+
+ @property
+ def detector_start_sample(self):
+ return 8
+
+ @property
+ def usgscsm_distortion_model(self):
+ return {
+ 'radial' : {
+ 'coefficients' : [0.0, 1.0, 0.1]
+ }
+ }
+
+ @property
+ def platform_name(self):
+ return 'Test Platform'
+
+ @property
+ def ephemeris_start_time(self):
+ return 800
+
+ @property
+ def exposure_duration(self):
+ return 100
+
+ @property
+ def focal2pixel_lines(self):
+ return [0.1, 0.2, 0.3]
+
+ @property
+ def focal2pixel_samples(self):
+ return [0.3, 0.2, 0.1]
+
+ @property
+ def image_samples(self):
+ return 1024
+
+ @property
+ def sensor_frame_id(self):
+ return 1010
+
+ @property
+ def target_frame_id(self):
+ return 100
+
+ @property
+ def naif_keywords(self):
+ return {
+ 'keyword_1' : 0,
+ 'keyword_2' : 'test'
+ }
+
+ @property
+ def pixel2focal_x(self):
+ return [456, 3, 1]
+
+ @property
+ def pixel2focal_y(self):
+ return [28, 93, 5]
+
+ @property
+ def sensor_model_version(self):
+ return 1
+
+ @property
+ def target_name(self):
+ return 'Test Target'
+
+
+class TestLineScanner(LineScanner, TestDriver):
+ """
+ Test class for overriding properties from the LineScanner class.
+ """
+ @property
+ def line_scan_rate(self):
+ return [[0.5], [-50], [0.01]]
+
+ @property
+ def sensor_name(self):
+ return 'Test Line Scan Sensor'
+
+ @property
+ def sensor_position(self):
+ return (
+ [[0, 1, 2], [3, 4, 5]],
+ [[0.03, 0.03, 0.03], [0.03, 0.03, 0.03]],
+ [800, 900]
+ )
+
+ @property
+ def sun_position(self):
+ return (
+ [[0, 1, 2], [3, 4, 5]],
+ [[0, -1, -2], [-3, -4, -5]],
+ [800, 900]
+ )
+
+ @property
+ def detector_center_line(self):
+ return 0.5
+
+ @property
+ def image_lines(self):
+ return 10000
+
+ @property
+ def exposure_duration(self):
+ return .01
+
+
+@pytest.fixture
+def driver():
+ return TestFramer('')
+
+
+class TestFramer(Framer, TestDriver):
+ """
+ Test class for overriding properties from the Framer class
+ """
+ @property
+ def sensor_name(self):
+ return 'Test Frame Sensor'
+
+ @property
+ def sensor_position(self):
+ return (
+ [[0, 1, 2]],
+ [[0, -1, -2]],
+ [850]
+ )
+ @property
+ def sun_position(self):
+ return (
+ [[0, 1, 2]],
+ [[0, -1, -2]],
+ [850]
+ )
+
+ @property
+ def detector_center_line(self):
+ return 256
+
+ @property
+ def image_lines(self):
+ return 512
+
+@pytest.fixture
+def test_line_scan_driver():
+ return TestLineScanner("")
+
+@pytest.fixture
+def test_frame_driver():
+ return TestFramer("")
+
+def test_frame_name_model(test_frame_driver):
+ isd = formatter.to_isd(test_frame_driver)
+ assert isd['name_model'] == 'USGS_ASTRO_FRAME_SENSOR_MODEL'
+
+def test_line_scan_name_model(test_line_scan_driver):
+ isd = formatter.to_isd(test_line_scan_driver)
+ assert isd['name_model'] == 'USGS_ASTRO_LINE_SCANNER_SENSOR_MODEL'
+
+def test_name_platform(test_frame_driver):
+ isd = formatter.to_isd(test_frame_driver)
+ assert isd['name_platform'] == 'Test Platform'
+
+def test_name_sensor(test_frame_driver):
+ isd = formatter.to_isd(test_frame_driver)
+ assert isd['name_sensor'] == 'Test Frame Sensor'
+
+def test_frame_center_ephemeris_time(test_frame_driver):
+ isd = formatter.to_isd(test_frame_driver)
+ assert isd['center_ephemeris_time'] == 850
+
+def test_summing(test_frame_driver):
+ isd = formatter.to_isd(test_frame_driver)
+ assert isd['detector_sample_summing'] == 2
+ assert isd['detector_line_summing'] == 4
+
+def test_focal_to_pixel(test_frame_driver):
+ isd = formatter.to_isd(test_frame_driver)
+ assert isd['focal2pixel_lines'] == [0.1, 0.2, 0.3]
+ assert isd['focal2pixel_samples'] == [0.3, 0.2, 0.1]
+
+def test_focal_length(test_frame_driver):
+ isd = formatter.to_isd(test_frame_driver)
+ focal_model = isd['focal_length_model']
+ assert focal_model['focal_length'] == 500
+
+def test_image_size(test_frame_driver):
+ isd = formatter.to_isd(test_frame_driver)
+ assert isd['image_lines'] == 512
+ assert isd['image_samples'] == 1024
+
+def test_detector_center(test_frame_driver):
+ isd = formatter.to_isd(test_frame_driver)
+ detector_center = isd['detector_center']
+ assert detector_center['line'] == 256
+ assert detector_center['sample'] == 512
+
+def test_distortion(test_frame_driver):
+ isd = formatter.to_isd(test_frame_driver)
+ optical_distortion = isd['optical_distortion']
+ assert optical_distortion['radial']['coefficients'] == [0.0, 1.0, 0.1]
+
+def test_radii(test_frame_driver):
+ isd = formatter.to_isd(test_frame_driver)
+ radii_obj = isd['radii']
+ assert radii_obj['semimajor'] == 1100
+ assert radii_obj['semiminor'] == 1000
+ assert radii_obj['unit'] == 'km'
+
+def test_reference_height(test_frame_driver):
+ isd = formatter.to_isd(test_frame_driver)
+ reference_height = isd['reference_height']
+ assert reference_height['maxheight'] == 1000
+ assert reference_height['minheight'] == -1000
+ assert reference_height['unit'] == 'm'
+
+def test_detector_start(test_frame_driver):
+ isd = formatter.to_isd(test_frame_driver)
+ assert isd['starting_detector_line'] == 0
+ assert isd['starting_detector_sample'] == 8
+
+def test_starting_ephemeris_time(test_line_scan_driver):
+ isd = formatter.to_isd(test_line_scan_driver)
+ assert isd['starting_ephemeris_time'] == 800
+
+def test_line_scan_rate(test_line_scan_driver):
+ isd = formatter.to_isd(test_line_scan_driver)
+ assert isd['line_scan_rate'] == [[0.5, -50, 0.01]]
+
+def test_interpolation_method(test_line_scan_driver):
+ isd = formatter.to_isd(test_line_scan_driver)
+ assert isd['interpolation_method'] == 'lagrange'
+
+def test_camera_version(driver):
+ meta_data = formatter.to_isd(driver)
+ assert meta_data['IsisCameraVersion'] == 1
+
+def test_instrument_pointing(driver):
+ meta_data = formatter.to_isd(driver)
+ pointing = meta_data['InstrumentPointing']
+ assert pointing['TimeDependentFrames'] == [1000, 1]
+ assert pointing['ConstantFrames'] == [1010, 1000]
+ np.testing.assert_equal(pointing['ConstantRotation'], np.array([1., 0., 0., 0., 1., 0., 0., 0., 1.]))
+ assert pointing['CkTableStartTime'] == 800
+ assert pointing['CkTableEndTime'] == 900
+ assert pointing['CkTableOriginalSize'] == 2
+ np.testing.assert_equal(pointing['EphemerisTimes'], np.array([800, 900]))
+ np.testing.assert_equal(pointing['Quaternions'], np.array([[-1, 0, 0, 0], [-1, 0, 0, 0]]))
+
+def test_instrument_position(driver):
+ meta_data = formatter.to_isd(driver)
+ position = meta_data['InstrumentPosition']
+ assert position['SpkTableStartTime'] == 850
+ assert position['SpkTableEndTime'] == 850
+ assert position['SpkTableOriginalSize'] == 1
+ np.testing.assert_equal(position['EphemerisTimes'], np.array([850]))
+ np.testing.assert_equal(position['Positions'], np.array([[0, 0.001, 0.002]]))
+ np.testing.assert_equal(position['Velocities'], np.array([[0, -0.001, -0.002]]))
+
+def test_body_rotation(driver):
+ meta_data = formatter.to_isd(driver)
+ rotation = meta_data['BodyRotation']
+ assert rotation['TimeDependentFrames'] == [100, 1]
+ assert rotation['CkTableStartTime'] == 800
+ assert rotation['CkTableEndTime'] == 900
+ assert rotation['CkTableOriginalSize'] == 2
+ np.testing.assert_equal(rotation['EphemerisTimes'], np.array([800, 900]))
+ np.testing.assert_equal(rotation['Quaternions'], np.array([[-1, 0, 0, 0], [-1, 0, 0, 0]]))
+
+def test_sun_position(driver):
+ meta_data = formatter.to_isd(driver)
+ position = meta_data['SunPosition']
+ assert position['SpkTableStartTime'] == 850
+ assert position['SpkTableEndTime'] == 850
+ assert position['SpkTableOriginalSize'] == 1
+ np.testing.assert_equal(position['EphemerisTimes'], np.array([850]))
+ np.testing.assert_equal(position['Positions'], np.array([[0.0, 0.001, 0.002]]))
+ np.testing.assert_equal(position['Velocities'], np.array([[0.0, -0.001, -0.002]]))
+
+def test_naif_keywords(driver):
+ meta_data = formatter.to_isd(driver)
+ assert meta_data['NaifKeywords'] == {
+ 'keyword_1' : 0,
+ 'keyword_2' : 'test'
+ }
diff --git a/tests/pytests/test_kaguya_drivers.py b/tests/pytests/test_kaguya_drivers.py
index 6c3fa969a0a9c5ea8dd3cdf3c909092792d33255..6b6b4239584e058a0aafc66765439a838d10ad54 100644
--- a/tests/pytests/test_kaguya_drivers.py
+++ b/tests/pytests/test_kaguya_drivers.py
@@ -9,187 +9,15 @@ import json
import unittest
from unittest.mock import MagicMock, PropertyMock, patch
-from conftest import get_image_label, get_image_kernels, convert_kernels, compare_dicts
+from conftest import get_isd, get_image_label, get_image_kernels, convert_kernels, compare_dicts
import ale
from ale.drivers.selene_drivers import KaguyaTcPds3NaifSpiceDriver
image_dict = {
- # Kaguya TC1
- 'TC1S2B0_01_06691S820E0465' : {
- 'usgscsm': {
- 'radii': {
- 'semimajor': 1737.4,
- 'semiminor': 1737.4,
- 'unit': 'km'},
- 'sensor_position': {
- 'positions': np.array([[195490.61933009, 211972.79163854, -1766965.21759375],
- [194934.34274256, 211332.14192709, -1767099.36601459],
- [194378.02078141, 210691.44358962, -1767233.10640484],
- [193821.65246371, 210050.69819792, -1767366.43865632],
- [193265.23762617, 209409.90567475, -1767499.36279925],
- [192708.77531467, 208769.0676026, -1767631.87872367]]),
- 'velocities': np.array([[-1069.71186948, -1231.97377674, -258.3672068 ],
- [-1069.80166655, -1232.06495814, -257.58238805],
- [-1069.89121909, -1232.15585752, -256.7975062 ],
- [-1069.98052705, -1232.24647484, -256.01256158],
- [-1070.06959044, -1232.3368101, -255.2275542 ],
- [-1070.15840923, -1232.42686325, -254.44248439]]),
- 'unit': 'm'},
- 'sun_position': {
- 'positions': np.array([[9.50465237e+10, 1.15903815e+11, 3.78729685e+09]]),
- 'velocities': np.array([[285707.13474515, -232731.15884149, 592.91742112]]),
- 'unit': 'm'},
- 'sensor_orientation': {
- 'quaternions': np.array([[-0.19095485, -0.08452708, 0.88748467, -0.41080698],
- [-0.19073945, -0.08442789, 0.88753312, -0.41082276],
- [-0.19052404, -0.08432871, 0.88758153, -0.41083852],
- [-0.19030862, -0.08422952, 0.88762988, -0.41085426],
- [-0.19009352, -0.08412972, 0.88767854, -0.41086914],
- [-0.18987892, -0.08402899, 0.88772773, -0.41088271]])},
- 'detector_sample_summing': 1,
- 'detector_line_summing': 1,
- 'focal_length_model': {
- 'focal_length': 72.45},
- 'detector_center': {
- 'line': 0.5,
- 'sample': 2048.0},
- 'starting_detector_line': 1,
- 'starting_detector_sample': .5,
- 'focal2pixel_lines': [0, 142.85714285714286, 0],
- 'focal2pixel_samples': [0, 0, -142.85714285714286],
- 'optical_distortion': {
- 'kaguyalism': {
- 'x': [-0.0009649900000000001, 0.00098441, 8.5773e-06, -3.7438e-06],
- 'y': [-0.0013796, 1.3502e-05, 2.7251e-06, -6.193800000000001e-06],
- 'boresight_x' : -0.0725,
- 'boresight_y' : 0.0214}},
- 'image_lines': 400,
- 'image_samples': 3208,
- 'name_platform': 'SELENE-M',
- 'name_sensor': 'Terrain Camera 1',
- 'reference_height': {
- 'maxheight': 1000,
- 'minheight': -1000,
- 'unit': 'm'},
- 'name_model': 'USGS_ASTRO_LINE_SCANNER_SENSOR_MODEL',
- 'interpolation_method': 'lagrange',
- 'line_scan_rate': [[0.5, -1.300000011920929, 0.006500000000000001]],
- 'starting_ephemeris_time': 292234259.82293594,
- 'center_ephemeris_time': 292234261.12293595,
- 't0_ephemeris': -1.300000011920929,
- 'dt_ephemeris': 0.5200000047683716,
- 't0_quaternion': -1.300000011920929,
- 'dt_quaternion': 0.5200000047683716
- }
- },
- 'MVA_2B2_01_02329N002E0302' : {
- 'usgscsm': {
- "radii": {
- "semimajor": 1737.4,
- "semiminor": 1737.4,
- "unit": "km"
- },
- "sensor_position": {
- "positions":
- [[1581631.170967984, 918816.7454749601, 17359.778053074166],
- [1581653.6518666577, 918814.107469728, 15896.70384782562],
- [1581675.125610955, 918810.8848940814, 14433.619458749732],
- [1581695.5934041755, 918807.0763904197, 12970.525577080793],
- [1581715.0540239091, 918802.6833137124, 11507.423371723235],
- [1581733.5087290092, 918797.7043282809, 10044.31354866982],
- [1581750.956214992, 918792.1408047304, 8581.197251839967],
- [1581767.397120705, 918785.9920686551, 7118.075256110188],
- [1581782.832060649, 918779.2574662118, 5654.948478420991],
- [1581797.2597721093, 918771.9383358458, 4191.818019885403],
- [1581810.6815028861, 918764.0333783475, 2728.6845793242946],
- [1581823.0960200944, 918755.5439313636, 1265.5493310270317],
- [1581834.5045334753, 918746.4686686409, -197.58704133484173],
- [1581844.9058070402, 918736.8089392016, -1660.7233725491283],
- [1581854.3010902032, 918726.5634377429, -3123.8589609802857]],
- "velocities":
- [[25.783286973637825, -2.6305942733908934, -1641.2662531260032],
- [24.6541610233529, -3.2871454607723085, -1641.2783248089215],
- [23.52502323352204, -3.943685198289895, -1641.289353750218],
- [22.395874155219467, -4.600213174108102, -1641.2993399473512],
- [21.26671464756069, -5.256728894126663, -1641.3082833954215],
- [20.137545263644594, -5.913232045800747, -1641.3161840918588],
- [19.008366863699095, -6.5697221353508475, -1641.3230420322975],
- [17.87918004057494, -7.226198826543763, -1641.3288572140555],
- [16.749985499845394, -7.88266171782453, -1641.3336296337216],
- [15.620784065823575, -8.539110335934271, -1641.337359287963],
- [14.491576292730104, -9.19554436926745, -1641.3400461741676],
- [13.36236304437793, -9.85196332233081, -1641.3416902893532],
- [12.23314487464595, -10.508366882000841, -1641.3422916309216],
- [11.103922649257456, -11.164754553522712, -1641.341850196455],
- [9.974696922853957, -11.821126023917325, -1641.3403659833964]],
- "unit": "m"
- },
- "sun_position": {
- "positions": [[108404801770.5306, 104307744789.75961, 3666393216.4922094]],
- "velocities": [[257322.0926607856, -265899.8379709762, 700.5524232754503]],
- "unit": "m"
- },
- "sensor_orientation": {
- "quaternions":
- [[0.6841290215141231, 0.18168313624920118, -0.6816280982629065, 0.18531555677620887],
- [0.6838528388829476, 0.18161279386087273, -0.6819012144243979, 0.18539908744196368],
- [0.6835758239500531, 0.18154309699572227, -0.6821746518347966, 0.18548299447195182],
- [0.6832967471554302, 0.18147561929758188, -0.6824496703005432, 0.18556562837456525],
- [0.6830162583395626, 0.18140960968119488, -0.6827257032744798, 0.18564740355713963],
- [0.6827351210778349, 0.18134352304219054, -0.6830025370795092, 0.18572779932049618],
- [0.6824529044894799, 0.1812773209250331, -0.6832809057747644, 0.18580573154704597],
- [0.6821706589155502, 0.18121103113539608, -0.6835592153840321, 0.18588317130159213],
- [0.681888970523384, 0.18114425688445818, -0.683837844473224, 0.1859569642217031],
- [0.6816071682054932, 0.1810774530787411, -0.6841163595700203, 0.1860307254355251],
- [0.681327502040239, 0.18100853678321963, -0.6843942771188167, 0.18610002155351393],
- [0.6810480612976251, 0.1809392785030075, -0.6846720093765764, 0.18616862054008748],
- [0.6807714840034947, 0.18086571980771243, -0.6849487531729829, 0.18623367980280572],
- [0.6804965752593046, 0.18078957882144664, -0.6852248624334619, 0.1862966106856612],
- [0.6802234034550377, 0.18071156643840802, -0.6854997575134238, 0.1863586155681002]]
- },
- "detector_sample_summing": 1,
- "detector_line_summing": 1,
- "focal_length_model": {
- "focal_length": 65.4
- },
- "detector_center": {
- "line": 0.5,
- "sample": 483.5
- },
- "starting_detector_line": 0,
- "starting_detector_sample": 0,
- "focal2pixel_lines": [0, 76.92307692307692, 0],
- "focal2pixel_samples": [0, 0, -76.92307692307692],
- "optical_distortion": {
- "kaguyalism": {
- "x": [2.8912e-19, 0.00020899000000000002, 4.7727000000000006e-05],
- "y": [-1.0119e-18, 0.0034982, 1.9597e-05],
- "boresight_x": -0.0060,
- "boresight_y": -0.0187
- }
- },
- "image_lines": 960,
- "image_samples": 962,
- "name_platform": "SELENE MAIN ORBITER",
- "name_sensor": "MULTIBAND IMAGER VISIBLE",
- "reference_height": {
- "maxheight": 1000,
- "minheight": -1000,
- "unit": "m"
- },
- "name_model": "USGS_ASTRO_LINE_SCANNER_SENSOR_MODEL",
- "interpolation_method": "lagrange",
- "line_scan_rate": [[0.5, -6.239987522363663, 0.012999974000000001]],
- "starting_ephemeris_time": 261664552.50899568,
- "center_ephemeris_time": 261664558.7489832,
- "t0_ephemeris": -6.239987522363663,
- "dt_ephemeris": 0.8914267889090947,
- "t0_quaternion": -6.239987522363663,
- "dt_quaternion": 0.8914267889090947
- }
- }
+ 'TC1S2B0_01_06691S820E0465' : get_isd("kaguyatc"),
+ 'MVA_2B2_01_02329N002E0302' : get_isd("kaguyami")
}
@@ -206,16 +34,16 @@ def test_kernels():
os.remove(kern)
@pytest.mark.parametrize("label_type", ['pds3'])
-@pytest.mark.parametrize("formatter", ['usgscsm'])
@pytest.mark.parametrize("image", image_dict.keys())
-def test_kaguya_load(test_kernels, label_type, formatter, image):
+def test_kaguya_load(test_kernels, label_type, image):
label_file = get_image_label(image, label_type)
- usgscsm_isd_str = ale.loads(label_file, props={'kernels': test_kernels[image]}, formatter=formatter)
- usgscsm_isd_obj = json.loads(usgscsm_isd_str)
- print(json.dumps(usgscsm_isd_obj, indent=2))
+ isd_str = ale.loads(label_file, props={'kernels': test_kernels[image]})
+ isd_obj = json.loads(isd_str)
+ print(json.dumps(isd_obj, indent=2))
+
+ assert compare_dicts(isd_obj, image_dict[image]) == []
- assert compare_dicts(usgscsm_isd_obj, image_dict[image][formatter]) == []
# ========= Test pdslabel and naifspice driver =========
class test_pds_naif(unittest.TestCase):
diff --git a/tests/pytests/test_usgscsm_formatter.py b/tests/pytests/test_usgscsm_formatter.py
index 67e217a145c3200265aeca31797aee8a3b174f19..9a9ae6d604e82339d0c4d43339a434afe36a7ede 100644
--- a/tests/pytests/test_usgscsm_formatter.py
+++ b/tests/pytests/test_usgscsm_formatter.py
@@ -106,7 +106,7 @@ class TestDriver(Driver, NaifSpice):
return 100
@property
- def naif_keywords(self):
+ def isis_naif_keywords(self):
return {
'keyword_1' : 0,
'keyword_2' : 'test'