def test_dfsr_invalid_tell(tmpdir, merge_lis_prs):
fpath = os.path.join(str(tmpdir), 'dfsr-prerequisites.lis')
content = headers + [
'data/lis/records/curves/dfsr-simple.lis.part',
'data/lis/records/curves/fdata-simple.lis.part',
] + trailers
merge_lis_prs(fpath, content)
with lis.load(fpath) as (f, ):
dfs = f.data_format_specs()[0]
fpath = os.path.join(str(tmpdir), 'dfsr-invalid-tell.lis')
content = headers + [
'data/lis/records/curves/fdata-simple.lis.part',
'data/lis/records/curves/fdata-simple.lis.part',
'data/lis/records/curves/dfsr-simple.lis.part',
] + trailers
merge_lis_prs(fpath, content)
with lis.load(fpath) as (f, ):
with pytest.raises(ValueError) as exc:
_ = lis.curves(f, dfs)
assert "Could not find DFS record at tell" in str(exc.value)
def test_entries(tmpdir, merge_lis_prs):
fpath = os.path.join(str(tmpdir), 'entries.lis')
content = headers + [
'data/lis/records/curves/dfsr-entries-defined.lis.part',
] + trailers
merge_lis_prs(fpath, content)
with lis.load(fpath) as (f, ):
dfs = f.data_format_specs()[0]
assert len(dfs.entries) == 17
# TODO: better interface, now user doesn't know what entries mean
entries = {entry.type: entry.value for entry in dfs.entries}
assert entries[0] == 60
assert entries[1] == 0
assert entries[2] == 0
assert entries[3] == 32
assert entries[4] == 0 #"none"
assert entries[5] == 255 #"meters"
assert entries[6] == -4
assert entries[7] == "INCH"
assert entries[8] == 60
assert entries[9] == "INCH"
assert entries[10] == "UNDEFINE" #field undefined, should be missing
assert entries[11] == 8
assert entries[12] == -15988.0
assert entries[13] == 1 #True
assert entries[14] == "INCH"
assert entries[15] == 73 #reprc_int_32
assert entries[16] == 1
def test_fdata_repcodes_fixed_size(tmpdir, merge_lis_prs):
fpath = os.path.join(str(tmpdir), 'fdata-repcodes-fixed.lis')
content = headers + [
'data/lis/records/curves/dfsr-repcodes-fixed.lis.part',
'data/lis/records/curves/fdata-repcodes-fixed.lis.part',
] + trailers
merge_lis_prs(fpath, content)
with lis.load(fpath) as (f, ):
dfs = f.data_format_specs()[0]
fmt = core.dfs_formatstring(dfs)
assert fmt == 'bsilefrp'
curves = lis.curves(f, dfs)
assert curves['BYTE'] == [89]
assert curves['I8 '] == [-128]
assert curves['I16 '] == [153]
assert curves['I32 '] == [-153]
assert curves['F16 '] == [1.0]
assert curves['F32 '] == [-1.0]
assert curves['F32L'] == [-0.25]
assert curves['F32F'] == [153.25]
def test_dfsr_subtype1(tmpdir, merge_lis_prs):
fpath = os.path.join(str(tmpdir), 'dfsr-subtype1.lis')
content = headers + [
'data/lis/records/curves/dfsr-subtype1.lis.part',
] + trailers
merge_lis_prs(fpath, content)
with lis.load(fpath) as (f, ):
dfs = f.data_format_specs()[0]
ch1 = dfs.specs[0]
assert ch1.mnemonic == "CH01"
assert ch1.service_id == "testCH"
assert ch1.service_order_nr == " 1234 "
assert ch1.units == "INCH"
#assert ch1.api_codes == "45310011" #unsupported
assert ch1.filenr == 1
assert ch1.reserved_size == 4
assert ch1.samples == 1
assert ch1.reprc == 73 #should this be int32 instead?
#assert ch1.process_indicators == "FF FF FF FF FF" #unsupported
curves = lis.curves(f, dfs)
assert len(curves) == 0
def test_entries_default_values(tmpdir, merge_lis_prs):
fpath = os.path.join(str(tmpdir), 'entries-default.lis')
content = headers + [
'data/lis/records/curves/dfsr-entries-default.lis.part',
] + trailers
merge_lis_prs(fpath, content)
with lis.load(fpath) as (f, ):
dfs = f.data_format_specs()[0]
assert len(dfs.entries) == 17
entries = {entry.type: entry.value for entry in dfs.entries}
assert entries[0] == 60
assert entries[1] == 0
assert entries[2] == 0
assert entries[3] == None
assert entries[4] == 1 #"up"
assert entries[5] == 1 #"feet"
assert entries[6] == None
assert entries[7] == ".1IN"
assert entries[8] == None
assert entries[9] == ".1IN"
assert entries[10] == None #field undefined, should be missing
assert entries[11] == None
#assert entries[12] == -999.25 or None: unknown
assert entries[13] == 0 #False
assert entries[14] == ".1IN"
assert entries[15] == None
assert entries[16] == 0
def test_inforec_empty():
path = 'data/lis/records/inforec_06.lis'
f, = lis.load(path)
wellsite = f.wellsite_data()[0]
assert wellsite.isstructured() == False
assert len(wellsite.components()) == 0
def test_fdata_fast_channel_depth(tmpdir, merge_lis_prs):
fpath = os.path.join(str(tmpdir), 'fast-channel-depth.lis')
content = headers + [
'data/lis/records/curves/dfsr-fast-depth.lis.part',
'data/lis/records/curves/fdata-fast-depth-1.lis.part',
'data/lis/records/curves/fdata-fast-depth-2.lis.part',
] + trailers
merge_lis_prs(fpath, content)
with lis.load(fpath) as (f, ):
dfs = f.data_format_specs()[0]
with pytest.raises(RuntimeError) as exc:
_ = lis.curves(f, dfs)
assert "please explicitly specify which to read" in str(exc.value)
# Curves with sampling rate x1 the index.
curves = lis.curves(f, dfs, sample_rate=1)
expected = np.array([1, 3, 5, 7])
np.testing.assert_array_equal(curves['DEPT'], expected)
expected = np.array([4, 7, 10, 13])
np.testing.assert_array_equal(curves['CH02'], expected)
# Curves with sampling rate x2 the index.
curves = lis.curves(f, dfs, sample_rate=2)
expected = np.array([0, 1, 2, 3, 4, 5, 6, 7])
np.testing.assert_array_equal(curves['DEPT'], expected)
expected = np.array([2, 3, 5, 6, 8, 9, 11, 12])
np.testing.assert_array_equal(curves['CH01'], expected)
def test_entries_size_0_values(tmpdir, merge_lis_prs):
fpath = os.path.join(str(tmpdir), 'entries-size-0.lis')
content = headers + [
'data/lis/records/curves/dfsr-entries-size-0.lis.part',
] + trailers
merge_lis_prs(fpath, content)
with lis.load(fpath) as (f, ):
dfs = f.data_format_specs()[0]
assert len(dfs.entries) == 16
entries = {entry.type: entry.value for entry in dfs.entries}
assert entries[0] == None #defined with size 0
assert dfs.record_type == None
assert dfs.spec_block_type == None
assert dfs.frame_size == None
assert dfs.direction == None
assert dfs.optical_log_depth_units == None
assert dfs.reference_point == None
assert dfs.reference_point_units == None
assert dfs.spacing == None
assert dfs.spacing_units == None
assert dfs.max_frames == None
assert dfs.absent_value == None
assert dfs.depth_mode == None
assert dfs.depth_units == None
assert dfs.depth_reprc == None
assert dfs.spec_block_subtype == None
def test_inforec_unstructured(filename):
# inforec_03.lis and inforec_04.lis are identical except for the type_nb
# field in the CBs. In 03 all CB's have type_nb==0, in 04 the value of
# type_nb vary. Regardless, none of them are table records and should
# behave the same.
path = 'data/lis/records/' + filename
f, = lis.load(path)
wellsite = f.wellsite_data()[0]
components = wellsite.components()
assert wellsite.isstructured() == False
assert len(components) == 15
expected = [
'WN ', 'ALLO', ' ', ' ', '15/9-F-15 ', 'CN ', 'ALLO', ' ',
' ', 'StatoilHydro', 'SRVC', 'ALLO', ' ', ' ', 'Geoservices '
]
for i, cb in enumerate(components):
assert cb.component == expected[i]
with pytest.raises(ValueError):
_ = wellsite.table()
with pytest.raises(ValueError):
_ = wellsite.table_name()
def test_fdata_fast_channel_dimensional(tmpdir, merge_lis_prs):
fpath = os.path.join(str(tmpdir), 'fast-channel-dimensional.lis')
content = headers + [
'data/lis/records/curves/dfsr-fast-dimensional.lis.part',
'data/lis/records/curves/fdata-fast-dimensional.lis.part',
] + trailers
merge_lis_prs(fpath, content)
with lis.load(fpath) as (f, ):
dfs = f.data_format_specs()[0]
curves = lis.curves(f, dfs, sample_rate=1)
expected = np.array([1, 9])
np.testing.assert_array_equal(curves['CH01'], expected)
expected = np.array([8, 16])
np.testing.assert_array_equal(curves['CH03'], expected)
# Curves with sampling rate x2 the index.
curves = lis.curves(f, dfs, sample_rate=2)
expected = np.array([0, 1, 5, 9])
np.testing.assert_array_equal(curves['CH01'], expected)
expected = np.array([[2, 3, 4], [5, 6, 7], [10, 11, 12], [13, 14, 15]])
np.testing.assert_array_equal(curves['CH02'], expected)
def test_entries(tmpdir, merge_lis_prs):
fpath = os.path.join(str(tmpdir), 'entries.lis')
content = headers + [
'data/lis/records/curves/dfsr-entries-defined.lis.part',
] + trailers
merge_lis_prs(fpath, content)
with lis.load(fpath) as (f, ):
dfs = f.data_format_specs()[0]
assert len(dfs.entries) == 17
entries = {entry.type: entry.value for entry in dfs.entries}
assert entries[0] == 60 # Terminator, no interface defined
assert entries[10] == "UNDEFINE" # field undefined, should be missing
assert dfs.record_type == 0
assert dfs.spec_block_type == 0
assert dfs.frame_size == 32
assert dfs.direction == 0 #"none"
assert dfs.optical_log_depth_units == 255 #"meters"
assert dfs.reference_point == -4
assert dfs.reference_point_units == "INCH"
assert dfs.spacing == 60
assert dfs.spacing_units == "INCH"
assert dfs.max_frames == 8
assert dfs.absent_value == -15988.0
assert dfs.depth_mode == 1 #True
assert dfs.depth_units == "INCH"
assert dfs.depth_reprc == 73 #reprc_int_32
assert dfs.spec_block_subtype == 1
def test_fdata_repcodes_fixed_size(tmpdir, merge_lis_prs):
fpath = os.path.join(str(tmpdir), 'fdata-repcodes-fixed.lis')
content = headers + [
'data/lis/records/curves/dfsr-repcodes-fixed.lis.part',
'data/lis/records/curves/fdata-repcodes-fixed.lis.part',
] + trailers
merge_lis_prs(fpath, content)
with lis.load(fpath) as (f, ):
dfs = f.data_format_specs()[0]
indexfmt, fmt = dfsr_fmtstr(dfs, sample_rate=1)
assert indexfmt == 'b1'
assert fmt == 's1i1l1e1f1r1p1'
curves = lis.curves(f, dfs)
assert curves['BYTE'] == [89]
assert curves['I8 '] == [-128]
assert curves['I16 '] == [153]
assert curves['I32 '] == [-153]
assert curves['F16 '] == [1.0]
assert curves['F32 '] == [-1.0]
assert curves['F32L'] == [-0.25]
assert curves['F32F'] == [153.25]
def test_fixed_value_encoding(tmpdir, merge_lis_prs):
fpath = os.path.join(str(tmpdir), 'encoded-fixed-value.dlis')
content = [
'data/lis/records/RHLR-1.lis.part',
'data/lis/records/THLR-1.lis.part',
'data/lis/records/FHLR-1.lis.part',
'data/lis/records/FTLR-1.lis.part',
'data/lis/records/TTLR-encoded.lis.part',
'data/lis/records/RTLR-1.lis.part',
]
merge_lis_prs(fpath, content)
prev_encodings = dlisio.common.get_encodings()
dlisio.common.set_encodings([])
try:
f, = lis.load(fpath)
trailer = f.tape.trailer()
with pytest.warns(UnicodeWarning):
assert trailer.name == b'\xec\xc5\xce\xd4\xc1\x30\x30\x31'
dlisio.common.set_encodings(['koi8_r'])
trailer = f.tape.trailer()
assert trailer.name == 'Лента001'
finally:
dlisio.common.set_encodings(prev_encodings)
f.close()
def test_inforec_cut_in_component():
path = 'data/lis/records/inforec-cut-in-value.lis.part'
f, = lis.load(path)
with pytest.raises(RuntimeError) as exc:
_ = f.wellsite_data()
assert "2 bytes left in record, expected at least 4" in str(exc.value)
def test_inforec_cut_in_fixed_size():
path = 'data/lis/records/inforec-cut-in-fixed.lis.part'
f, = lis.load(path)
with pytest.raises(RuntimeError) as exc:
_ = f.wellsite_data()
assert "lis::component_block: 10 bytes left in record" in str(exc.value)
def test_dfsr_subtype0(tmpdir, merge_lis_prs):
fpath = os.path.join(str(tmpdir), 'dfsr-subtype0.lis')
content = headers + [
'data/lis/records/curves/dfsr-subtype0.lis.part',
] + trailers
merge_lis_prs(fpath, content)
with lis.load(fpath) as (f, ):
dfs = f.data_format_specs()[0]
ch1 = dfs.specs[0]
assert ch1.mnemonic == "CH01"
assert ch1.service_id == "testCH"
assert ch1.service_order_nr == " 1234 "
assert ch1.units == "INCH"
assert ch1.api_log_type == 2
assert ch1.api_curve_type == 179
assert ch1.api_curve_class == 96
assert ch1.api_modifier == 59
assert ch1.filenr == 1
assert ch1.reserved_size == 4
assert ch1.process_level == 255
assert ch1.samples == 1
assert ch1.reprc == 73
curves = lis.curves(f, dfs)
assert len(curves) == 0
def test_fdata_fast_channel_ints(tmpdir, merge_lis_prs):
fpath = os.path.join(str(tmpdir), 'fast-channel-ints.lis')
content = headers + [
'data/lis/records/curves/dfsr-fast-int.lis.part',
'data/lis/records/curves/fdata-fast-int.lis.part',
] + trailers
merge_lis_prs(fpath, content)
with lis.load(fpath) as (f, ):
dfs = f.data_format_specs()[0]
with pytest.raises(RuntimeError) as exc:
_ = lis.curves(f, dfs)
assert "Multiple sampling rates in file" in str(exc.value)
curves = lis.curves(f, dfs, sample_rate=1)
assert curves.dtype == np.dtype([('CH01', 'i4'), ('CH03', 'i4')])
expected = np.array([1, 5])
np.testing.assert_array_equal(curves['CH01'], expected)
expected = np.array([4, 8])
np.testing.assert_array_equal(curves['CH03'], expected)
curves = lis.curves(f, dfs, sample_rate=2)
assert curves.dtype == np.dtype([('CH01', 'i4'), ('CH02', 'i2')])
expected = np.array([0, 1, 3, 5])
np.testing.assert_array_equal(curves['CH01'], expected)
expected = np.array([2, 3, 6, 7])
np.testing.assert_array_equal(curves['CH02'], expected)
def test_dfsr_fmtstring():
path = 'data/lis/MUD_LOG_1.LIS'
with lis.load(path) as (lf, *tail):
dfsr = lf.data_format_specs()[0]
fmt = core.dfs_formatstring(dfsr)
assert fmt == 'f' * 44
def test_dfsr_fmtstring():
path = 'data/lis/MUD_LOG_1.LIS'
with lis.load(path) as (_, lf, _):
dfsr = lf.dfsr()[0]
fmt = core.dfs_formatstring(dfsr)
assert fmt == 'D' * 44
def test_filehandles_closed(tmpdir):
# Copy the test file to a tmpdir in order to make this test reliable.
tmp = str(tmpdir.join('file'))
shutil.copyfile('data/lis/layouts/layout_tif_01.lis', tmp)
with lis.load(tmp) as files:
assert len(files) == 4
os.remove(tmp)
def test_inforec_table_name():
path = 'data/lis/records/inforec_01.lis'
f, = lis.load(path)
wellsite = f.wellsite_data()[0]
assert wellsite.isstructured()
name = wellsite.table_name()
assert name == 'CONS'
def test_filehandles_closed(tmpdir):
# Copy the test file to a tmpdir in order to make this test reliable.
tmp = str(tmpdir.join('file'))
shutil.copyfile('data/lis/layouts/layout_tif_01.lis', tmp)
load_failure_escape = str(tmpdir.join('truncated.lis'))
shutil.copyfile('data/lis/layouts/truncated_15.lis', load_failure_escape)
with lis.load(tmp) as files:
assert len(files) == 4
errorhandler = common.ErrorHandler(critical=common.Actions.LOG_ERROR)
# file is truncated, but 2 LFs were already processed successfully
with lis.load(load_failure_escape, error_handler=errorhandler) as files:
assert len(files) == 2
os.remove(tmp)
os.remove(load_failure_escape)
def f(fpath):
prev_encodings = dlisio.common.get_encodings()
dlisio.common.set_encodings([])
try:
f, = lis.load(fpath)
yield f
finally:
f.close()
dlisio.common.set_encodings(prev_encodings)
def test_dfsr_fmtstring():
path = 'data/lis/MUD_LOG_1.LIS'
with lis.load(path) as (lf, *tail):
dfsr = lf.data_format_specs()[0]
indexfmt, fmt = dfsr_fmtstr(dfsr, sample_rate=1)
assert indexfmt == 'f1'
assert fmt == 'f1' * 43
def test_missing_ftlr(tmpdir, merge_lis_prs, assert_info):
# A file with missing delimiter:
#
# file.lis
# |
# |->Reel 1
# | |-> Tape 1
# | |-> Logical File 1
# |->Reel 2
# |-> Tape 2
# |-> Logical File 2
#
fpath = os.path.join(str(tmpdir), 'missing_first_rh.dlis')
content = [
'data/lis/records/RHLR-1.lis.part',
'data/lis/records/THLR-1.lis.part',
'data/lis/records/FHLR-1.lis.part',
# Missing first FTLR
'data/lis/records/TTLR-1.lis.part',
'data/lis/records/RTLR-1.lis.part',
'data/lis/records/RHLR-2.lis.part',
'data/lis/records/THLR-2.lis.part',
'data/lis/records/FHLR-2.lis.part',
'data/lis/records/FTLR-2.lis.part',
'data/lis/records/TTLR-2.lis.part',
'data/lis/records/RTLR-2.lis.part',
]
merge_lis_prs(fpath, content)
with lis.load(fpath) as (f1, f2, *tail):
assert len(tail) == 0
# Check that f1, f2 is partitioned correctly by investigating their
# FHLR/FTLR.
# Check that f1, f2 "belongs" to the correct Reel and Tape by
# investigating the assigned RHLR/RTLR and THLR/TTLR. The fields
# checked are arbitrary as long as they can uniquely identify the
# record.
# f1 belongs to Reel 1 and Tape 1
assert f1.header().file_name == 'LISTST.001'
assert f1.trailer() == None
assert_info('No File Trailer Logical Record')
print(f1.explicits())
assert f1.tape.header().prev_tape_name == ' ' * 8
assert f1.tape.trailer().next_tape_name == 'Tape0002'
assert f1.reel.header().prev_reel_name == ' ' * 8
assert f1.reel.trailer().next_reel_name == 'Reel5678'
# f2 belongs to Reel 2 and Tape 2
assert f2.header().file_name == 'LISTST.002'
assert f2.trailer().file_name == 'LISTST.002'
assert f2.tape.header().prev_tape_name == 'Tape0001'
assert f2.tape.trailer().next_tape_name == ' ' * 8
assert f2.reel.header().prev_reel_name == 'Reel1234'
assert f2.reel.trailer().next_reel_name == ' ' * 8
def test_filehandles_closed_when_load_fails(tmpdir, merge_lis_prs,
assert_error):
# majority of exceptions in load are hard to invoke, so they are not tested
empty = os.path.join(str(tmpdir), 'empty.lis')
merge_lis_prs(empty, [])
truncated = str(tmpdir.join('truncated.lis'))
shutil.copyfile('data/lis/layouts/truncated_15.lis', truncated)
with pytest.raises(OSError):
_ = lis.load(empty)
# file is truncated, but 2 LFs was already processed successfully
with lis.load(truncated) as files:
assert len(files) == 2
# TODO: update with explicit raise here as well.
assert_error("Indexing failed")
os.remove(empty)
os.remove(truncated)
def test_tape_trailer():
with lis.load('data/lis/MUD_LOG_1.LIS') as (f, *tail):
tape = f.tape.trailer()
assert tape.service_name == ' ' * 6
assert tape.date == ' ' * 8
assert tape.origin_of_data == ' ' * 4
assert tape.name == 'Geotape '
assert tape.continuation_number == '01'
assert tape.next_tape_name == ' ' * 8
assert tape.comment == ' ' * 74
def test_dfsr_dtype():
path = 'data/lis/MUD_LOG_1.LIS'
with lis.load(path) as (lf, *tail):
dfsr = lf.data_format_specs()[0]
dtype = dfsr_dtype(dfsr, sample_rate=1)
expected = np.dtype([(ch.mnemonic, np.float32) for ch in dfsr.specs])
assert dtype == expected
def test_file_header():
with lis.load('data/lis/MUD_LOG_1.LIS') as (f, *tail):
header = f.header()
assert header.file_name == 'LIS1 .001'
assert header.service_sublvl_name == ' ' * 6
assert header.version_number == ' ' * 8
assert header.date_of_generation == ' ' * 8
assert header.max_pr_length == ' 1024'
assert header.file_type == ' ' * 2
assert header.prev_file_name == ' ' * 10
def test_dfsr_dtype():
path = 'data/lis/MUD_LOG_1.LIS'
with lis.load(path) as (_, lf, _):
dfsr = lf.dfsr()[0]
dtype = lis.dfsr_dtype(dfsr)
expected = np.dtype([(ch.mnemonic, np.float32) for ch in dfsr.specs])
assert dtype == expected
