diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml
index 5435d8fb8e634b003d5f5000571f08c8bcb1af29..be663d45b816bf2f53d1c9c05667f7627924e8e1 100644
--- a/.gitlab-ci.yml
+++ b/.gitlab-ci.yml
@@ -28,7 +28,7 @@ flake8:
- passoft
stage: Static Analysis and Test
script:
- - flake8 --ignore=E501,W503 lemi2seed tests
+ - flake8 lemi2seed tests
mypy:
image: python:3.8
diff --git a/lemi2seed/lemi_data.py b/lemi2seed/lemi_data.py
new file mode 100644
index 0000000000000000000000000000000000000000..2f6a58301ac5a87b09051cf94297f8920f6b706e
--- /dev/null
+++ b/lemi2seed/lemi_data.py
@@ -0,0 +1,294 @@
+# -*- coding: utf-8 -*-
+"""
+Routines for data prep before conversion to mseed files.
+
+Maeva Pourpoint - IRIS/PASSCAL
+"""
+from __future__ import annotations
+
+import logging
+import logging.config
+import numpy as np
+import re
+import sys
+
+from obspy import UTCDateTime
+from pathlib import Path, PosixPath
+from typing import Dict, List, Optional
+
+from lemi2seed.utils import (convert_time, convert_coordinate, str2list,
+ get_e_loc)
+
+# Read logging config file
+log_file_path = Path(__file__).parent.joinpath('logging.conf')
+logging.config.fileConfig(log_file_path)
+# Create logger
+logger = logging.getLogger(__name__)
+
+CHANNEL_NAMING_CONVENTION = {'Ex': 'LQN', 'Ey': 'LQE', 'Hx': 'LFN',
+ 'Hy': 'LFE', 'Hz': 'LFZ', 'Ui': 'LEH',
+ 'Te': 'LKH', 'Tf': 'LKF', 'Sn': 'GNS',
+ 'Fq': 'GST', 'Ce': 'LCE'}
+DATA_NBR_COLUMNS = 24
+DATA_INDEX = {'Time': range(0, 6), 'Hx': 6, 'Hy': 7, 'Hz': 8, 'Te': 9,
+ 'Tf': 10, 'E1': 11, 'E2': 12, 'E3': 13, 'E4': 14, 'Ui': 15,
+ 'Elev': 16, 'Lat': 17, 'Lat_Hem': 18, 'Lon': 19, 'Lon_Hem': 20,
+ 'Sn': 21, 'Fq': 22, 'Ce': 23}
+DATA_TO_ARCHIVE = ['E1', 'E2', 'E3', 'E4', 'Hx', 'Hy', 'Hz', 'Ui', 'Te', 'Tf',
+ 'Sn', 'Fq', 'Ce']
+SAMPLING_RATE = 1.0 # Hz
+VALID_COMPONENTS = ['E1', 'E2', 'E3', 'E4', 'Hx', 'Hy', 'Hz']
+
+
+class LemiData():
+ """
+ This class handles the parsing and prep of the data outputted by LEMI-424.
+ """
+
+ def __init__(self, path2data: str, output_mseed: str) -> None:
+ """Instantiate LemiData class and scan data directory."""
+ self.path2data: str = path2data
+ self.output_mseed: str = output_mseed
+ self.data_files: List[PosixPath] = []
+ self.stats: Dict = {'sample_rate': SAMPLING_RATE, }
+ self.scan_path2data()
+
+ def scan_path2data(self) -> None:
+ """
+ Scan data directory provided by the user for LEMI generated data files.
+ LEMI-424 filenaming covention: YYYYMMDDHHMM.TXT
+ Ex: .../DATA0110/202009302105.TXT
+ where ".../DATA0110/" is the user-provided path to their dataset.
+ """
+ data_files = [tmp for tmp in Path(self.path2data).glob('*')
+ if re.match(r"^\w{12}.txt$", tmp.parts[-1], re.IGNORECASE)]
+ if not data_files:
+ logger.error("No data files found under the following path - {}. "
+ "Check data path!".format(self.path2data))
+ sys.exit(1)
+ self.data_files = LemiData.order_files(data_files) # type: ignore
+
+ def parse_file(self, data_file: PosixPath) -> Optional[Dict]:
+ """Parse data file and check for potential corruptions."""
+ data: Dict = {}
+ msg = ("The data file - {} - may have been corrupted. Skipping file!"
+ .format(data_file))
+ with open(data_file, 'r', newline='') as fin:
+ for line in fin:
+ columns = line.strip().split()
+ if line.endswith('\r\n') and len(columns) == DATA_NBR_COLUMNS:
+ tmp = LemiData.reformat_data(columns)
+ if tmp is None:
+ logger.warning(msg)
+ return None
+ for key, val in tmp.items():
+ if data.get(key) is None:
+ data[key] = [val]
+ else:
+ data[key].append(val)
+ else:
+ logger.warning(msg)
+ return None
+ return data
+
+ def parse_all_files(self) -> None:
+ """
+ Parse all data files and define data attribute => dictionary structure
+ with:
+ - key: Time_stamp, Elev, Hx, Hy, Hz, E1, E2, E3, E4, Ui, Te, Tf, Sn,
+ Fq, Ce
+ - value: list of data points for given key
+ """
+ self.data: Dict = {}
+ for data_file in self.data_files:
+ logger.info("Parsing data file - {}.".format(data_file))
+ data = self.parse_file(data_file)
+ if data is not None:
+ for key, val in data.items():
+ if self.data.get(key) is None:
+ self.data[key] = val
+ else:
+ self.data[key] = [*self.data[key], *val]
+
+ @staticmethod
+ def order_files(files: List[PosixPath]) -> List[PosixPath]:
+ """
+ Order data files based on their name. Each file name is defined by
+ the time stamp of the first data point recorded in the file.
+ """
+ return sorted(files, key=lambda x: x.parts[-1])
+
+ @staticmethod
+ def reformat_data(columns: List[str]) -> Optional[Dict]:
+ """
+ Reformat data in all columns by either applying a time, coordinate or
+ float conversion.
+ """
+ time_stamp = convert_time(' '.join([columns[ind] for ind in DATA_INDEX['Time']])) # type: ignore
+ lat = convert_coordinate(columns[DATA_INDEX['Lat']], columns[DATA_INDEX['Lat_Hem']]) # type: ignore
+ lon = convert_coordinate(columns[DATA_INDEX['Lon']], columns[DATA_INDEX['Lon_Hem']]) # type: ignore
+ if not all([time_stamp, lat, lon]):
+ return None
+ dict_ = {'Time_stamp': time_stamp, 'Lat': lat, 'Lon': lon,
+ 'Elev': float(columns[DATA_INDEX['Elev']]), # type: ignore
+ 'Hx': float(columns[DATA_INDEX['Hx']]), # type: ignore
+ 'Hy': float(columns[DATA_INDEX['Hy']]), # type: ignore
+ 'Hz': float(columns[DATA_INDEX['Hz']]), # type: ignore
+ 'E1': float(columns[DATA_INDEX['E1']]), # type: ignore
+ 'E2': float(columns[DATA_INDEX['E2']]), # type: ignore
+ 'E3': float(columns[DATA_INDEX['E3']]), # type: ignore
+ 'E4': float(columns[DATA_INDEX['E4']]), # type: ignore
+ 'Ui': float(columns[DATA_INDEX['Ui']]), # type: ignore
+ 'Te': float(columns[DATA_INDEX['Te']]), # type: ignore
+ 'Tf': float(columns[DATA_INDEX['Tf']]), # type: ignore
+ 'Sn': float(columns[DATA_INDEX['Sn']]), # type: ignore
+ 'Fq': float(columns[DATA_INDEX['Fq']]), # type: ignore
+ 'Ce': float(columns[DATA_INDEX['Ce']])} # type: ignore
+ return dict_
+
+ @staticmethod
+ def detect_gaps(time_stamp: List[UTCDateTime]) -> List:
+ """
+ Detect gaps in time series. The number of gaps correlated with the
+ number of acquisition starts defined the number of runs.
+ Return list of data point indexes for which a gap is detected.
+ """
+ diffs = [j - i for i, j in zip(time_stamp[:-1], time_stamp[1:])]
+ ind_gap = [ind + 1 for ind, diff in enumerate(diffs) if diff != SAMPLING_RATE]
+ if ind_gap:
+ logger.warning("Data gaps detected at {}."
+ .format(", ".join([str(time_stamp[x]) for x in ind_gap])))
+ return ind_gap
+
+ @staticmethod
+ def detect_new_day(time_stamp: List[UTCDateTime]) -> List:
+ """
+ Detect start of a new day in time series. Used to create day-long data
+ traces.
+ Return list of data point indexes for which a new day is detected.
+ """
+ return [i + 1 for i in range(len(time_stamp) - 1) if time_stamp[i + 1].day != time_stamp[i].day]
+
+ def create_data_array(self) -> None:
+ """
+ From data attribute, create a data_np attribute (numpy array) in which
+ each time series is associated to a specific channel number, component,
+ channel name, location code,run number, start time and end time.
+ """
+ # Check for data gaps and day start
+ time_stamp = self.data["Time_stamp"]
+ ind_gaps = LemiData.detect_gaps(time_stamp)
+ ind_days = LemiData.detect_new_day(time_stamp)
+ ind_traces = sorted(set([0, *ind_gaps, *ind_days, len(time_stamp)]))
+ # For LEMIs, number of data gaps defines number of runs
+ # Save that info in stats
+ self.stats['nbr_runs'] = len(ind_gaps) + 1
+ # Create structured numpy array
+ npts_max = int(24 * 3600 * SAMPLING_RATE)
+ dtype = [('channel_number', str, 2), ('component', str, 2),
+ ('channel_name', str, 3), ('location', str, 2),
+ ('run_nbr', int), ('starttime', UTCDateTime),
+ ('endtime', UTCDateTime), ('npts', int),
+ ('samples', float, npts_max)]
+ self.data_np = np.zeros(len(DATA_TO_ARCHIVE) * (len(ind_traces) - 1), dtype=dtype)
+ # Fill array for each time chunk and channel.
+ # A time chunk is defined as a day or the time between two data gaps if
+ # data recording is discontinuous.
+ ind = 0
+ run_nbr = 1
+ location = ''
+ for start, end in zip(ind_traces[:-1], ind_traces[1:]):
+ npts = end - start
+ if start in ind_gaps:
+ run_nbr += 1
+ for cha in DATA_TO_ARCHIVE:
+ channel_number = cha if cha.startswith('E') else ''
+ component = cha if not cha.startswith('E') else ''
+ channel_name = CHANNEL_NAMING_CONVENTION.get(cha, '')
+ samples = [*self.data[cha][start:end], *[0] * (npts_max - npts)]
+ self.data_np[ind] = np.array([(channel_number, component,
+ channel_name, location, run_nbr,
+ time_stamp[start],
+ time_stamp[end - 1], npts,
+ samples)], dtype=dtype)
+ ind += 1
+
+ def update_stats_geo_time(self) -> None:
+ """
+ Update stats attribute by defining the latitude, longitude, elevation,
+ start and end time for all channels.
+ These stats info are used to set the header information for a ObsPy
+ Trace object.
+ """
+ self.stats['latitude'] = np.mean(self.data["Lat"])
+ self.stats['longitude'] = np.mean(self.data["Lon"])
+ self.stats['elevation'] = np.mean(self.data["Elev"])
+ self.stats['time_period_start'] = self.data["Time_stamp"][0]
+ self.stats['time_period_end'] = self.data["Time_stamp"][-1]
+
+ def update_stats_net_sta(self, net: str, sta: str) -> None:
+ """
+ Update stats attribute by defining or redefining the network code and
+ station name.
+ These stats info are used to set the header information for a ObsPy
+ Trace object.
+ """
+ self.stats['network'] = 'XX' if not net else net.upper()
+ self.stats['station'] = 'TEST' if not sta else sta.upper()
+
+ def update_array(self, data_channels: List, e_info: Dict) -> None:
+ """
+ Update data_np attribute based on:
+ - list of channels for which data was recorded.
+ - list of electrode related info.
+ """
+ # Remove from data array channels for which data were not recorded
+ no_record = [x for x in VALID_COMPONENTS if x not in data_channels]
+ for channel in no_record:
+ self.data_np = self.data_np[self.data_np['channel_number'] != channel]
+ # Update component, channel_name and location code for electric channels
+ e_loc = get_e_loc(e_info)
+ for key, val in e_info.items():
+ self.update_electrode_info(key, val, e_loc)
+
+ def update_electrode_info(self, key: str, val: str, e_loc: Dict) -> None:
+ """
+ Update electrode info (component, channel_name and location code) in
+ data_np attribute.
+ """
+ for ind in np.where(self.data_np['channel_number'] == key)[0]:
+ self.data_np[ind]['component'] = val
+ self.data_np[ind]['channel_name'] = CHANNEL_NAMING_CONVENTION[val]
+ self.data_np[ind]['location'] = e_loc.get(key, '')
+
+ def update_data(self, qc_inputs: Optional[Dict] = None,
+ metadata=None) -> None:
+ """
+ Update stats and data_np attributes based on user inputs (entered
+ either via the command line or the GUI).
+ Called either right after parse_data_files() in QC mode or after
+ parsing metadata info in normal mode.
+ """
+ if qc_inputs is not None:
+ net = qc_inputs['net']
+ sta = qc_inputs['sta']
+ data_channels = qc_inputs['data_channels']
+ e_info = qc_inputs['e_info']
+ else:
+ net = metadata.survey.archive_network
+ sta = metadata.station.archive_id
+ data_channels = str2list(metadata.station.components_recorded)
+ e_info = {x.channel_number: x.component for x in metadata.electric
+ if x.channel_number in data_channels}
+ self.update_stats_net_sta(net, sta)
+ self.update_array(data_channels, e_info)
+
+ def prep_data(self):
+ """Wrap up method to prep data outputted by LEMI-424."""
+ self.parse_all_files()
+ if not self.data:
+ logger.error('No valid data found. Exiting!')
+ sys.exit(1)
+ else:
+ self.create_data_array()
+ self.update_stats_geo_time()
diff --git a/lemi2seed/utils.py b/lemi2seed/utils.py
index 50d415b3480d571d5692f0d56b77483e14d9ec55..31aea6ceaff7609ffa36d20a697bd893cc08d39f 100644
--- a/lemi2seed/utils.py
+++ b/lemi2seed/utils.py
@@ -1,4 +1,3 @@
-#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Various "utils" functions required for data and metadata formatting and
diff --git a/tests/test_data/DATA0110/202009302105.TXT b/tests/test_data/DATA0110/202009302105.TXT
new file mode 100644
index 0000000000000000000000000000000000000000..3086e904f584245322fa89719a04a3d19f67ed24
--- /dev/null
+++ b/tests/test_data/DATA0110/202009302105.TXT
@@ -0,0 +1,362 @@
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diff --git a/tests/test_data/DATA0110/202009302112.TXT b/tests/test_data/DATA0110/202009302112.TXT
new file mode 100644
index 0000000000000000000000000000000000000000..d38b46ebd821f4c78df07835c1507d11fa20baf7
--- /dev/null
+++ b/tests/test_data/DATA0110/202009302112.TXT
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diff --git a/tests/test_data/DATA0110/202009302114.TXT b/tests/test_data/DATA0110/202009302114.TXT
new file mode 100644
index 0000000000000000000000000000000000000000..6e619ab795ca5360a7ffb5173f70cb849d5712ca
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diff --git a/tests/test_data/DATA0110/202010010000.TXT b/tests/test_data/DATA0110/202010010000.TXT
new file mode 100644
index 0000000000000000000000000000000000000000..7160cb72262f4bf388b80dc2db7d43575afdee4a
--- /dev/null
+++ b/tests/test_data/DATA0110/202010010000.TXT
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diff --git a/tests/test_data/DATA0110_Corrupted_Level1/202009302112.TXT b/tests/test_data/DATA0110_Corrupted_Level1/202009302112.TXT
new file mode 100644
index 0000000000000000000000000000000000000000..afc70e939e202f3e0f83906ddcadfe4dd031bc0a
--- /dev/null
+++ b/tests/test_data/DATA0110_Corrupted_Level1/202009302112.TXT
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diff --git a/tests/test_data/DATA0110_Corrupted_Level2/202009302105.TXT b/tests/test_data/DATA0110_Corrupted_Level2/202009302105.TXT
new file mode 100644
index 0000000000000000000000000000000000000000..2d5b81404c152d24cf3799f19a7c3ebaccc5c9c1
--- /dev/null
+++ b/tests/test_data/DATA0110_Corrupted_Level2/202009302105.TXT
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diff --git a/tests/test_data/DATA0110_Corrupted_Level2/202009302112.TXT b/tests/test_data/DATA0110_Corrupted_Level2/202009302112.TXT
new file mode 100644
index 0000000000000000000000000000000000000000..983b42230a3cebca39baaa6fd9bb8ae07c0348b3
--- /dev/null
+++ b/tests/test_data/DATA0110_Corrupted_Level2/202009302112.TXT
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diff --git a/tests/test_data/DATA0110_Erroneous_Filenaming/202009302105_.TXT b/tests/test_data/DATA0110_Erroneous_Filenaming/202009302105_.TXT
new file mode 100644
index 0000000000000000000000000000000000000000..3086e904f584245322fa89719a04a3d19f67ed24
--- /dev/null
+++ b/tests/test_data/DATA0110_Erroneous_Filenaming/202009302105_.TXT
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diff --git a/tests/test_data/DATA0110_Erroneous_Filenaming/202009302112_.TXT b/tests/test_data/DATA0110_Erroneous_Filenaming/202009302112_.TXT
new file mode 100644
index 0000000000000000000000000000000000000000..d38b46ebd821f4c78df07835c1507d11fa20baf7
--- /dev/null
+++ b/tests/test_data/DATA0110_Erroneous_Filenaming/202009302112_.TXT
@@ -0,0 +1,106 @@
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diff --git a/tests/test_lemi_data.py b/tests/test_lemi_data.py
new file mode 100644
index 0000000000000000000000000000000000000000..5b46cc745876173eaf72119727b17fba356a32eb
--- /dev/null
+++ b/tests/test_lemi_data.py
@@ -0,0 +1,231 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+"""Tests for `lemi_data` module."""
+
+import logging
+import pickle
+import unittest
+
+from obspy import UTCDateTime
+from pathlib import Path
+
+from lemi2seed.lemi_data import LemiData, log_file_path
+
+OUTPUT_MSEED = Path(__file__).resolve().parent.joinpath('MSEED')
+TEST_DIR = Path(__file__).resolve().parent.joinpath('test_data')
+SCR_DIR = "lemi2seed.lemi_data"
+
+logging.config.fileConfig(log_file_path)
+logger = logging.getLogger(SCR_DIR)
+
+
+class TestLemiData(unittest.TestCase):
+ """Test suite for lemi_data.LemiData class"""
+
+ def setUp(self):
+ """Set up test fixtures"""
+ self.path2data = TEST_DIR.joinpath("DATA0110")
+ self.path2data_corrupted_1 = TEST_DIR.joinpath("DATA0110_Corrupted_Level1")
+ self.path2data_corrupted_2 = TEST_DIR.joinpath("DATA0110_Corrupted_Level2")
+ files = ['202009302105.TXT', '202009302112.TXT', '202009302114.TXT', '202010010000.TXT']
+ self.data_files = [self.path2data.joinpath(x) for x in files]
+
+ def test_scan_path2data_valid_filenaming(self):
+ """Test basic functionality of scan_path2data."""
+ lemi_data = LemiData(self.path2data, OUTPUT_MSEED)
+ self.assertListEqual(lemi_data.data_files, self.data_files)
+
+ def test_scan_path2data_erroneous_filenaming(self):
+ """Test basic functionality of scan_path2data."""
+ path2data = TEST_DIR.joinpath('DATA0110_Erroneous_Filenaming')
+ with self.assertRaises(SystemExit) as cmd:
+ LemiData(path2data, OUTPUT_MSEED)
+ self.assertEqual(cmd.exception.code, 1)
+
+ def test_parse_file_valid_file(self):
+ """Test basic functionality of parse_file."""
+ lemi_data = LemiData(self.path2data, OUTPUT_MSEED)
+ data = lemi_data.parse_file(lemi_data.data_files[0])
+ input_file = self.path2data.joinpath('test_data_file.pkl')
+ with open(input_file, 'rb') as fin:
+ expected_data = pickle.load(fin)
+ self.assertDictEqual(data, expected_data)
+
+ def test_parse_file_corrupted_no_CR(self):
+ """Test basic functionality of parse_file."""
+ lemi_data = LemiData(self.path2data_corrupted_1, OUTPUT_MSEED)
+ data_file = lemi_data.data_files[0]
+ with self.assertLogs(logger, level='WARNING') as cmd:
+ data = lemi_data.parse_file(data_file)
+ msg = ("The data file - {} - may have been corrupted. Skipping file!"
+ .format(data_file))
+ self.assertEqual(cmd.output, [":".join(['WARNING', SCR_DIR, msg])])
+ self.assertIsNone(data)
+
+ def test_parse_file_corrupted_missing_column(self):
+ """Test basic functionality of parse_file."""
+ lemi_data = LemiData(self.path2data_corrupted_1, OUTPUT_MSEED)
+ data_file = lemi_data.data_files[1]
+ with self.assertLogs(logger, level='WARNING') as cmd:
+ data = lemi_data.parse_file(data_file)
+ msg = ("The data file - {} - may have been corrupted. Skipping file!"
+ .format(data_file))
+ self.assertEqual(cmd.output, [":".join(['WARNING', SCR_DIR, msg])])
+ self.assertIsNone(data)
+
+ def test_parse_file_corrupted_erroneous_time_formatting(self):
+ """Test basic functionality of parse_file."""
+ lemi_data = LemiData(self.path2data_corrupted_2, OUTPUT_MSEED)
+ data_file = lemi_data.data_files[0]
+ with self.assertLogs(logger) as cmd:
+ data = lemi_data.parse_file(data_file)
+ msg = ("The data file - {} - may have been corrupted. Skipping file!"
+ .format(data_file))
+ self.assertEqual(cmd.output, [":".join(['WARNING', SCR_DIR, msg])])
+ self.assertIsNone(data)
+
+ def test_parse_file_corrupted_erroneous_coordinate_formatting(self):
+ """Test basic functionality of parse_file."""
+ lemi_data = LemiData(self.path2data_corrupted_2, OUTPUT_MSEED)
+ data_file = lemi_data.data_files[1]
+ with self.assertLogs(logger) as cmd:
+ data = lemi_data.parse_file(data_file)
+ msg = ("The data file - {} - may have been corrupted. Skipping file!"
+ .format(data_file))
+ self.assertEqual(cmd.output, [":".join(['WARNING', SCR_DIR, msg])])
+ self.assertIsNone(data)
+
+ def test_parse_all_files(self):
+ """Test basic functionality of parse_all_files."""
+ lemi_data = LemiData(self.path2data, OUTPUT_MSEED)
+ lemi_data.parse_all_files()
+ input_file = self.path2data.joinpath('test_data_files.pkl')
+ with open(input_file, 'rb') as fin:
+ expected_data = pickle.load(fin)
+ self.assertDictEqual(lemi_data.data, expected_data)
+
+ def test_order_files(self):
+ """Test basic functionality of order_files."""
+ files = self.path2data.glob('*.TXT')
+ ordered_data_files = LemiData.order_files(files)
+ self.assertListEqual(ordered_data_files, self.data_files)
+
+ def test_reformat_data_valid_formatting(self):
+ """Test basic functionality of reformat_data."""
+ output = {'Time_stamp': UTCDateTime('2020-09-30T21:05:00.000000Z'),
+ 'Lat': 34.0483955, 'Lon': -107.12843720000001,
+ 'Elev': 2202.2, 'Hx': 23777.803, 'Hy': 210.731,
+ 'Hz': 41834.585, 'E1': 136.521, 'E2': -110.769,
+ 'E3': 174.046, 'E4': 16.178, 'Ui': 13.01, 'Te': 46.75,
+ 'Tf': 37.09, 'Sn': 12.0, 'Fq': 2.0, 'Ce': 0.0}
+ line = ('2020 09 30 21 05 00 23777.803 210.731 41834.585 46.75 '
+ '37.09 136.521 -110.769 174.046 16.178 13.01 2202.2 '
+ '3404.83955 N 10712.84372 W 12 2 0')
+ columns = line.strip().split()
+ self.assertDictEqual(LemiData.reformat_data(columns), output)
+
+ def test_reformat_data_erroneous_time_formatting(self):
+ """Test basic functionality of reformat_data."""
+ line = ('2020 09 30 21 05 23777.803 23777.803 210.731 41834.585 '
+ '46.75 37.09 136.521 -110.769 174.046 16.178 13.01 '
+ '2202.2 3404.83955 N 10712.84372 W 12 2 0')
+ columns = line.strip().split()
+ self.assertIsNone(LemiData.reformat_data(columns))
+
+ def test_reformat_data_erroneous_coordinate_formatting(self):
+ """Test basic functionality of reformat_data."""
+ line = ('2020 09 30 21 12 00 23775.684 212.121 41834.749 46.68 '
+ '36.46 133.427 -111.936 171.563 15.734 13.00 2200.8 '
+ '3404.83994 Z 10712.84418 W 12 2 0')
+ columns = line.strip().split()
+ self.assertIsNone(LemiData.reformat_data(columns))
+
+ def test_detect_gaps(self):
+ """Test basic functionality of detect_gaps."""
+ lemi_data = LemiData(self.path2data, OUTPUT_MSEED)
+ lemi_data.parse_all_files()
+ time_stamp = lemi_data.data["Time_stamp"]
+ ind_gaps = LemiData.detect_gaps(time_stamp)
+ self.assertEqual(len(ind_gaps), 3)
+ self.assertListEqual([time_stamp[ind] for ind in ind_gaps],
+ [UTCDateTime('2020-09-30T21:12:00.000000Z'),
+ UTCDateTime('2020-09-30T21:14:00.000000Z'),
+ UTCDateTime('2020-10-01T00:00:00.000000Z')])
+
+ def test_detect_new_day(self):
+ """Test basic functionality of detect_new_day."""
+ lemi_data = LemiData(self.path2data, OUTPUT_MSEED)
+ lemi_data.parse_all_files()
+ time_stamp = lemi_data.data["Time_stamp"]
+ ind_day = LemiData.detect_new_day(time_stamp)
+ self.assertEqual(len(ind_day), 1)
+ self.assertEqual(time_stamp[ind_day[0]],
+ UTCDateTime('2020-10-01T00:00:00.000000Z'))
+
+ def test_create_data_array(self):
+ """Test basic functionality of create_data_array."""
+ lemi_data = LemiData(self.path2data, OUTPUT_MSEED)
+ lemi_data.parse_all_files()
+ lemi_data.create_data_array()
+ input_file = self.path2data.joinpath('test_data_np_files.pkl')
+ with open(input_file, 'rb') as fin:
+ expected_data_np = pickle.load(fin)
+ self.assertEqual(lemi_data.stats['nbr_runs'], 4)
+ self.assertSequenceEqual(lemi_data.data_np[0], expected_data_np)
+
+ def test_update_stats_geo_time(self):
+ """Test basic functionality of update_stats_geo_time."""
+ lemi_data = LemiData(self.path2data, OUTPUT_MSEED)
+ lemi_data.parse_all_files()
+ lemi_data.update_stats_geo_time()
+ self.assertAlmostEqual(lemi_data.stats['latitude'], 34.04839, 5)
+ self.assertAlmostEqual(lemi_data.stats['longitude'], -107.12844, 5)
+ self.assertAlmostEqual(lemi_data.stats['elevation'], 2201.77122, 5)
+ self.assertEqual(lemi_data.stats['time_period_start'],
+ UTCDateTime('2020-09-30T21:05:00.000000Z'))
+ self.assertEqual(lemi_data.stats['time_period_end'],
+ UTCDateTime('2020-10-01T00:05:59.000000Z'))
+
+ def test_update_array_list_of_channels(self):
+ """Test basic functionality of update_array."""
+ lemi_data = LemiData(self.path2data, OUTPUT_MSEED)
+ lemi_data.parse_all_files()
+ lemi_data.create_data_array()
+ data_channels = ['E1', 'E2', 'Hx', 'Hy', 'Hz']
+ e_info = {'E1': 'Ex', 'E2': 'Ey'}
+ lemi_data.update_array(data_channels, e_info)
+ self.assertNotIn('E3', lemi_data.data_np['channel_number'])
+ self.assertNotIn('E4', lemi_data.data_np['channel_number'])
+
+ def test_update_array_electrode_info(self):
+ """Test basic functionality of update_array."""
+ lemi_data = LemiData(self.path2data, OUTPUT_MSEED)
+ lemi_data.parse_all_files()
+ lemi_data.create_data_array()
+ data_channels = ['E1', 'E2', 'E3', 'E4', 'Hx', 'Hy', 'Hz']
+ e_info = {'E1': 'Ex', 'E2': 'Ey', 'E3': 'Ex', 'E4': 'Ey'}
+ lemi_data.update_array(data_channels, e_info)
+ data_np_E1 = lemi_data.data_np[lemi_data.data_np['channel_number'] == 'E1']
+ self.assertSetEqual(set(data_np_E1['component']), {'Ex'})
+ self.assertSetEqual(set(data_np_E1['channel_name']), {'LQN'})
+ self.assertSetEqual(set(data_np_E1['location']), {'00'})
+ data_np_E2 = lemi_data.data_np[lemi_data.data_np['channel_number'] == 'E2']
+ self.assertSetEqual(set(data_np_E2['component']), {'Ey'})
+ self.assertSetEqual(set(data_np_E2['channel_name']), {'LQE'})
+ self.assertSetEqual(set(data_np_E2['location']), {'00'})
+ data_np_E3 = lemi_data.data_np[lemi_data.data_np['channel_number'] == 'E3']
+ self.assertSetEqual(set(data_np_E3['component']), {'Ex'})
+ self.assertSetEqual(set(data_np_E3['channel_name']), {'LQN'})
+ self.assertSetEqual(set(data_np_E3['location']), {'01'})
+ data_np_E4 = lemi_data.data_np[lemi_data.data_np['channel_number'] == 'E4']
+ self.assertSetEqual(set(data_np_E4['component']), {'Ey'})
+ self.assertSetEqual(set(data_np_E4['channel_name']), {'LQE'})
+ self.assertSetEqual(set(data_np_E4['location']), {'01'})
+
+ def test_prep_data(self):
+ """Test basic functionality if prep_data."""
+ lemi_data = LemiData(self.path2data_corrupted_1, OUTPUT_MSEED)
+ with self.assertRaises(SystemExit) as cmd:
+ lemi_data.prep_data()
+ self.assertEqual(cmd.exception.code, 1)
diff --git a/tox.ini b/tox.ini
index a76f929546136bbeb71f15e885a981b2a4bfa172..fe54f9fe0d7613ac50a99e81e2722cb657202b83 100644
--- a/tox.ini
+++ b/tox.ini
@@ -4,7 +4,7 @@ envlist = py37, py38, py39, flake8, mypy
[testenv:flake8]
basepython = python
deps = flake8
-commands = flake8 --ignore=E501,W503 lemi2seed tests
+commands = flake8 lemi2seed tests
[testenv:mypy]
basepython = python