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0.3028391776812039, - 0.9530416740423118, - 0, - 297.5848898679969 + 0.302797705431954, + 0.9530548512993069, + 0.0, + 298.0973733623943 ], [ - 0, - 0, - 1, + 0.0, + 0.0, + 1.0, -53.71111111111132 ], [ - 0, - 0, - 0, - 1 + 0.0, + 0.0, + 0.0, + 1.0 ] ] ], "inf_one_interval": [ [ [ - 0.9530416740423117, - -0.30283917768120405, - 0, - 86.51389127230165 + 0.953054851299307, + -0.30279770543195383, + 0.0, + 86.35089806216253 ], [ - 0.3028391776812039, - 0.9530416740423118, - 0, - 297.5848898679969 + 0.302797705431954, + 0.9530548512993069, + 0.0, + 298.0973733623943 ], [ - 0, - 0, - 1, + 0.0, + 0.0, + 1.0, -53.71111111111132 ], [ - 0, - 0, - 0, - 1 + 0.0, + 0.0, + 0.0, + 1.0 ] ] ] diff --git a/geomagio/residual/Calculation.py b/geomagio/residual/Calculation.py index 72708859b8382b38829db4c34d3cc926417ac739..7eb1ca1f0685ffa6fbee89342c53ff40f90313ce 100644 --- a/geomagio/residual/Calculation.py +++ b/geomagio/residual/Calculation.py @@ -355,7 +355,7 @@ def calculate_scale_value( / corrected_f ) + (m2.angle - m1.angle) residual_change = m2.residual - m1.residual - scale_value = corrected_f * field_change / np.abs(residual_change) + scale_value = np.radians(corrected_f * field_change / np.abs(residual_change)) return scale_value diff --git a/geomagio/residual/Reading.py b/geomagio/residual/Reading.py index 752ffc4b0c4d778072584b2de468785444f61f52..75648d9b4882f96bb22cf5ac4f2c9c708a884787 100644 --- a/geomagio/residual/Reading.py +++ b/geomagio/residual/Reading.py @@ -182,11 +182,10 @@ def get_ordinates( h_abs, d_abs, z_abs = get_absolutes(readings) h_bas, d_bas, z_bas = get_baselines(readings) # recreate ordinate variometer measurements from absolutes and baselines - h_ord = h_abs - h_bas d_ord = d_abs - d_bas z_ord = z_abs - z_bas - e_ord = h_abs * np.radians(d_ord) - h_ord = np.sqrt(h_ord**2 - e_ord**2) + e_ord = h_abs * np.sin(np.radians(d_ord)) # this is right, but breaks tests + h_ord = np.sqrt(h_abs**2 - e_ord**2) - h_bas # this is right, but breaks tests return (h_ord, e_ord, z_ord) diff --git a/geomagio/residual/SpreadsheetAbsolutesFactory.py b/geomagio/residual/SpreadsheetAbsolutesFactory.py index 27c5be9ef4e27c32300af13eac015a9865133ea0..fc22cae1f6cf914ab585210bfe48ed4b03cd239c 100644 --- a/geomagio/residual/SpreadsheetAbsolutesFactory.py +++ b/geomagio/residual/SpreadsheetAbsolutesFactory.py @@ -287,7 +287,8 @@ class SpreadsheetAbsolutesFactory(object): """ def __init__(self, base_directory="/Volumes/geomag/pub/observatories"): - self.base_directory = base_directory + # trim filename off base_directory + self.base_directory = os.path.dirname(base_directory) def get_readings( self, @@ -300,23 +301,26 @@ class SpreadsheetAbsolutesFactory(object): readings = [] start_filename = f"{observatory}-{starttime.datetime:%Y%j%H%M}.xlsm" end_filename = f"{observatory}-{endtime.datetime:%Y%j%H%M}.xlsm" - for year in range(starttime.year, endtime.year + 1): - # start in observatory year directory to scan fewer files - observatory_directory = os.path.join( - self.base_directory, observatory, f"{year}" - ) - for (dirpath, _, filenames) in os.walk(observatory_directory): - for filename in filenames: - if start_filename <= filename < end_filename: - readings.append( - self.parse_spreadsheet( - path=os.path.join(dirpath, filename), - observatory=observatory, - starttime=starttime, - endtime=endtime, - include_measurements=include_measurements, - ) - ) + all_dirs = [] + all_files = [] + for (dirpath, _, filenames) in os.walk(self.base_directory): + # accumulate dirpaths and filenames before sorting on filenames + all_dirs += len(filenames) * [dirpath] + all_files += filenames + # unique and sorted filenames + filenames, idxs = numpy.unique(all_files, return_index=True) + dirpaths = numpy.array(all_dirs)[idxs] + for dirpath, filename in zip(dirpaths, filenames): + if start_filename <= filename < end_filename: + readings.append( + self.parse_spreadsheet( + path=os.path.join(dirpath, filename), + observatory=observatory, + starttime=starttime, + endtime=endtime, + include_measurements=include_measurements, + ) + ) return readings def parse_spreadsheet( @@ -356,7 +360,7 @@ class SpreadsheetAbsolutesFactory(object): measurements=measurements, metadata=metadata, pier_correction=metadata["pier_correction"], - scale_value=numpy.degrees(metadata["scale_value"]), + scale_value=metadata["scale_value"], diagnostics=self._parse_diagnostics(calculation_sheet), ) diff --git a/geomagio/residual/SpreadsheetSummaryFactory.py b/geomagio/residual/SpreadsheetSummaryFactory.py index 98ee84d4724b42b88ce59bd42bc0836ee2572a13..ba3b6c981421e06ce9797f597b7bb408515ab6f5 100644 --- a/geomagio/residual/SpreadsheetSummaryFactory.py +++ b/geomagio/residual/SpreadsheetSummaryFactory.py @@ -1,5 +1,6 @@ import os +import numpy from obspy import UTCDateTime import openpyxl from typing import List @@ -39,7 +40,7 @@ class SpreadsheetSummaryFactory(object): """Read absolutes from summary spreadsheets""" def __init__(self, base_directory: str): - self.base_directory = base_directory + self.base_directory = os.path.dirname(base_directory) def get_readings( self, observatory: str, starttime: UTCDateTime, endtime: UTCDateTime @@ -55,19 +56,23 @@ class SpreadsheetSummaryFactory(object): readings = [] start_filename = f"{observatory}{starttime.datetime:%Y%j%H%M}.xlsm" end_filename = f"{observatory}{endtime.datetime:%Y%j%H%M}.xlsm" - for year in range(starttime.year, endtime.year + 1): - observatory_directory = os.path.join( - self.base_directory, observatory, f"{year}" - ) - for (dirpath, _, filenames) in os.walk(observatory_directory): - filenames.sort() - for filename in filenames: - if start_filename <= filename < end_filename: - rs = self.parse_spreadsheet( - os.path.join(dirpath, filename), - ) - for r in rs: - readings.append(r) + all_dirs = [] + all_files = [] + for (dirpath, _, filenames) in os.walk(self.base_directory): + # accumulate dirpaths and filenames before sorting on filenames + all_dirs += len(filenames) * [dirpath] + all_files += filenames + # unique and sorted filenames + filenames, idxs = numpy.unique(all_files, return_index=True) + dirpaths = numpy.array(all_dirs)[idxs] + + for dirpath, filename in zip(dirpaths, filenames): + if start_filename <= filename < end_filename: + rs = self.parse_spreadsheet( + os.path.join(dirpath, filename), + ) + for r in rs: + readings.append(r) return readings def parse_spreadsheet(self, path: str) -> List[Reading]: diff --git a/test/adjusted_test/adjusted_test.py b/test/adjusted_test/adjusted_test.py index 7d81f9cbb308b914f5db2dc7620a1ccfc3754bbb..1395e2c61ed6c9803bc42716586af08cb2dbbe80 100644 --- a/test/adjusted_test/adjusted_test.py +++ b/test/adjusted_test/adjusted_test.py @@ -36,7 +36,7 @@ def format_result(result) -> dict: return Ms -def get_excpected_matrices(observatory, key): +def get_expected_matrices(observatory, key): with open(f"etc/adjusted/{observatory}_expected.json", "r") as file: expected = json.load(file) return expected[key] @@ -74,7 +74,7 @@ def test_BOU201911202001_infinite_one_interval(): ) matrices = format_result([adjusted_matrix.matrix for adjusted_matrix in result]) - expected_matrices = get_excpected_matrices("BOU", "inf_one_interval") + expected_matrices = get_expected_matrices("BOU", "inf_one_interval") for i in range(len(matrices)): assert_array_almost_equal( matrices[i], @@ -107,7 +107,7 @@ def test_BOU201911202001_infinite_weekly(): ) matrices = format_result([adjusted_matrix.matrix for adjusted_matrix in result]) - expected_matrices = get_excpected_matrices("BOU", "inf_weekly") + expected_matrices = get_expected_matrices("BOU", "inf_weekly") for i in range(len(matrices)): assert_array_almost_equal( matrices[i], @@ -160,7 +160,7 @@ def test_BOU201911202001_short_acausal(): ) matrices = format_result([adjusted_matrix.matrix for adjusted_matrix in result]) - expected_matrices = get_excpected_matrices("BOU", "short_acausal") + expected_matrices = get_expected_matrices("BOU", "short_acausal") for i in range(len(matrices)): assert_array_almost_equal( matrices[i], @@ -191,7 +191,7 @@ def test_BOU201911202001_short_causal(): ).calculate(readings=readings) matrices = format_result([adjusted_matrix.matrix for adjusted_matrix in result]) - expected_matrices = get_excpected_matrices("BOU", "short_causal") + expected_matrices = get_expected_matrices("BOU", "short_causal") for i in range(len(matrices)): assert_array_almost_equal( matrices[i], @@ -227,7 +227,7 @@ def test_CMO2015_infinite_one_interval(): ) matrices = format_result([adjusted_matrix.matrix for adjusted_matrix in result]) - expected_matrices = get_excpected_matrices("CMO", "inf_one_interval") + expected_matrices = get_expected_matrices("CMO", "inf_one_interval") for i in range(len(matrices)): assert_array_almost_equal( matrices[i], @@ -268,7 +268,7 @@ def test_CMO2015_infinite_weekly(): ) matrices = format_result([adjusted_matrix.matrix for adjusted_matrix in result]) - expected_matrices = get_excpected_matrices("CMO", "inf_weekly") + expected_matrices = get_expected_matrices("CMO", "inf_weekly") for i in range(len(matrices)): assert_array_almost_equal( matrices[i], @@ -307,7 +307,7 @@ def test_CMO2015_short_acausal(): ) matrices = format_result([adjusted_matrix.matrix for adjusted_matrix in result]) - expected_matrices = get_excpected_matrices("CMO", "short_acausal") + expected_matrices = get_expected_matrices("CMO", "short_acausal") for i in range(len(matrices)): assert_array_almost_equal( matrices[i], @@ -346,7 +346,7 @@ def test_CMO2015_short_causal(): ) matrices = format_result([adjusted_matrix.matrix for adjusted_matrix in result]) - expected_matrices = get_excpected_matrices("CMO", "short_causal") + expected_matrices = get_expected_matrices("CMO", "short_causal") for i in range(len(matrices)): assert_array_almost_equal( matrices[i], diff --git a/test/residual_test/residual_test.py b/test/residual_test/residual_test.py index 8b156125bd3696e86b1a2dd60df4674ddff6ab62..5f70ff83f9768739861b8e8d6f4687c4a43acf67 100644 --- a/test/residual_test/residual_test.py +++ b/test/residual_test/residual_test.py @@ -19,8 +19,6 @@ def assert_readings_equal(expected: Reading, actual: Reading, decimal: int): """ Compares calculation actuals to expected absolutes from spreadsheet """ - print(expected.json(exclude={"measurements", "metadata"}, indent=2)) - print(actual.json(exclude={"measurements", "metadata"}, indent=2)) expected_absolutes = {a.element: a for a in expected.absolutes} actual_absolutes = {a.element: a for a in actual.absolutes} assert_almost_equal(