Merge branch 'master' into col-27-ewe-ece

This commit is contained in:
2024-01-20 22:31:12 +02:00
13 changed files with 666 additions and 401 deletions

54
.github/workflows/ci.yml vendored Normal file
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@@ -0,0 +1,54 @@
# SPDX-FileCopyrightText: 2013-2020 Christopher Kerr, "bcolsen"
# SPDX-License-Identifier: GPL-3.0-or-later
name: CI tests
on:
pull_request:
push:
branches:
- master
concurrency:
# cancels running checks on new pushes
group: check-${{ github.ref }}
cancel-in-progress: true
jobs:
pytest:
name: Run Python unit tests
# Note that 20.04 is currently required until galvani supports mdbtools>=1.0.
runs-on: ubuntu-20.04
strategy:
fail-fast: false
max-parallel: 6
matrix:
python-version: ['3.8', '3.9', '3.10', '3.11']
steps:
- uses: actions/checkout@v3
with:
fetch-depth: 0
lfs: true
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Install MDBTools OS dependency
run: |
sudo apt install -y mdbtools
# tox-gh workflow following instructions at https://github.com/tox-dev/tox-gh
- name: Install tox
run: python -m pip install tox-gh
- name: Setup tests
run: |
tox -vv --notest
- name: Run all tests
run: |
tox --skip-pkg-install

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@@ -5,7 +5,7 @@
#
# SPDX-License-Identifier: GPL-3.0-or-later
__all__ = ['MPTfileCSV', 'MPTfile']
__all__ = ["MPTfileCSV", "MPTfile"]
import re
import csv
@@ -21,15 +21,44 @@ def fieldname_to_dtype(fieldname):
"""Converts a column header from the MPT file into a tuple of
canonical name and appropriate numpy dtype"""
if fieldname == 'mode':
return ('mode', np.uint8)
elif fieldname in ("ox/red", "error", "control changes", "Ns changes",
"counter inc."):
if fieldname == "mode":
return ("mode", np.uint8)
elif fieldname in (
"ox/red",
"error",
"control changes",
"Ns changes",
"counter inc.",
):
return (fieldname, np.bool_)
elif fieldname in ("time/s", "P/W", "(Q-Qo)/mA.h", "x", "control/V",
"control/V/mA", "(Q-Qo)/C", "dQ/C", "freq/Hz",
"|Ewe|/V", "|I|/A", "Phase(Z)/deg", "|Z|/Ohm",
"Re(Z)/Ohm", "-Im(Z)/Ohm"):
elif fieldname in (
"time/s",
"P/W",
"(Q-Qo)/mA.h",
"x",
"control/V",
"control/mA",
"control/V/mA",
"(Q-Qo)/C",
"dQ/C",
"freq/Hz",
"|Ewe|/V",
"|I|/A",
"Phase(Z)/deg",
"|Z|/Ohm",
"Re(Z)/Ohm",
"-Im(Z)/Ohm",
):
return (fieldname, np.float_)
elif fieldname in (
"Q charge/discharge/mA.h",
"step time/s",
"Q charge/mA.h",
"Q discharge/mA.h",
"Temperature/°C",
"Efficiency/%",
"Capacity/mA.h",
):
return (fieldname, np.float_)
elif fieldname in ("cycle number", "I Range", "Ns", "half cycle"):
return (fieldname, np.int_)
@@ -37,19 +66,42 @@ def fieldname_to_dtype(fieldname):
return ("dQ/mA.h", np.float_)
elif fieldname in ("I/mA", "<I>/mA"):
return ("I/mA", np.float_)
elif fieldname in ("Ewe/V", "<Ewe>/V"):
elif fieldname in ("Ewe/V", "<Ewe>/V", "Ecell/V"):
return ("Ewe/V", np.float_)
elif fieldname.endswith(
(
"/s",
"/Hz",
"/deg",
"/W",
"/mW",
"/W.h",
"/mW.h",
"/A",
"/mA",
"/A.h",
"/mA.h",
"/V",
"/mV",
"/F",
"/mF",
"/uF",
"/C",
"/Ohm",
)
):
return (fieldname, np.float_)
else:
raise ValueError("Invalid column header: %s" % fieldname)
def comma_converter(float_text):
"""Convert text to float whether the decimal point is '.' or ','"""
trans_table = bytes.maketrans(b',', b'.')
trans_table = bytes.maketrans(b",", b".")
return float(float_text.translate(trans_table))
def MPTfile(file_or_path, encoding='ascii'):
def MPTfile(file_or_path, encoding="ascii"):
"""Opens .mpt files as numpy record arrays
Checks for the correct headings, skips any comments and returns a
@@ -57,16 +109,15 @@ def MPTfile(file_or_path, encoding='ascii'):
"""
if isinstance(file_or_path, str):
mpt_file = open(file_or_path, 'rb')
mpt_file = open(file_or_path, "rb")
else:
mpt_file = file_or_path
magic = next(mpt_file)
if magic != b'EC-Lab ASCII FILE\r\n':
if magic not in (b"EC-Lab ASCII FILE\r\n", b"BT-Lab ASCII FILE\r\n"):
raise ValueError("Bad first line for EC-Lab file: '%s'" % magic)
nb_headers_match = re.match(rb'Nb header lines : (\d+)\s*$',
next(mpt_file))
nb_headers_match = re.match(rb"Nb header lines : (\d+)\s*$", next(mpt_file))
nb_headers = int(nb_headers_match.group(1))
if nb_headers < 3:
raise ValueError("Too few header lines: %d" % nb_headers)
@@ -75,14 +126,12 @@ def MPTfile(file_or_path, encoding='ascii'):
# make three lines. Every additional line is a comment line.
comments = [next(mpt_file) for i in range(nb_headers - 3)]
fieldnames = next(mpt_file).decode(encoding).strip().split('\t')
fieldnames = next(mpt_file).decode(encoding).strip().split("\t")
record_type = np.dtype(list(map(fieldname_to_dtype, fieldnames)))
# Must be able to parse files where commas are used for decimal points
converter_dict = dict(((i, comma_converter)
for i in range(len(fieldnames))))
mpt_array = np.loadtxt(mpt_file, dtype=record_type,
converters=converter_dict)
converter_dict = dict(((i, comma_converter) for i in range(len(fieldnames))))
mpt_array = np.loadtxt(mpt_file, dtype=record_type, converters=converter_dict)
return mpt_array, comments
@@ -95,15 +144,15 @@ def MPTfileCSV(file_or_path):
"""
if isinstance(file_or_path, str):
mpt_file = open(file_or_path, 'r')
mpt_file = open(file_or_path, "r")
else:
mpt_file = file_or_path
magic = next(mpt_file)
if magic.rstrip() != 'EC-Lab ASCII FILE':
if magic.rstrip() != "EC-Lab ASCII FILE":
raise ValueError("Bad first line for EC-Lab file: '%s'" % magic)
nb_headers_match = re.match(r'Nb header lines : (\d+)\s*$', next(mpt_file))
nb_headers_match = re.match(r"Nb header lines : (\d+)\s*$", next(mpt_file))
nb_headers = int(nb_headers_match.group(1))
if nb_headers < 3:
raise ValueError("Too few header lines: %d" % nb_headers)
@@ -112,147 +161,207 @@ def MPTfileCSV(file_or_path):
# make three lines. Every additional line is a comment line.
comments = [next(mpt_file) for i in range(nb_headers - 3)]
mpt_csv = csv.DictReader(mpt_file, dialect='excel-tab')
mpt_csv = csv.DictReader(mpt_file, dialect="excel-tab")
expected_fieldnames = (
["mode", "ox/red", "error", "control changes", "Ns changes",
"counter inc.", "time/s", "control/V/mA", "Ewe/V", "dq/mA.h",
"P/W", "<I>/mA", "(Q-Qo)/mA.h", "x"],
['mode', 'ox/red', 'error', 'control changes', 'Ns changes',
'counter inc.', 'time/s', 'control/V', 'Ewe/V', 'dq/mA.h',
'<I>/mA', '(Q-Qo)/mA.h', 'x'],
["mode", "ox/red", "error", "control changes", "Ns changes",
"counter inc.", "time/s", "control/V", "Ewe/V", "I/mA",
"dQ/mA.h", "P/W"],
["mode", "ox/red", "error", "control changes", "Ns changes",
"counter inc.", "time/s", "control/V", "Ewe/V", "<I>/mA",
"dQ/mA.h", "P/W"])
[
"mode",
"ox/red",
"error",
"control changes",
"Ns changes",
"counter inc.",
"time/s",
"control/V/mA",
"Ewe/V",
"dq/mA.h",
"P/W",
"<I>/mA",
"(Q-Qo)/mA.h",
"x",
],
[
"mode",
"ox/red",
"error",
"control changes",
"Ns changes",
"counter inc.",
"time/s",
"control/V",
"Ewe/V",
"dq/mA.h",
"<I>/mA",
"(Q-Qo)/mA.h",
"x",
],
[
"mode",
"ox/red",
"error",
"control changes",
"Ns changes",
"counter inc.",
"time/s",
"control/V",
"Ewe/V",
"I/mA",
"dQ/mA.h",
"P/W",
],
[
"mode",
"ox/red",
"error",
"control changes",
"Ns changes",
"counter inc.",
"time/s",
"control/V",
"Ewe/V",
"<I>/mA",
"dQ/mA.h",
"P/W",
],
)
if mpt_csv.fieldnames not in expected_fieldnames:
raise ValueError("Unrecognised headers for MPT file format")
return mpt_csv, comments
VMPmodule_hdr = np.dtype([('shortname', 'S10'),
('longname', 'S25'),
('length', '<u4'),
('version', '<u4'),
('date', 'S8')])
VMPmodule_hdr = np.dtype(
[
("shortname", "S10"),
("longname", "S25"),
("length", "<u4"),
("version", "<u4"),
("date", "S8"),
]
)
# Maps from colID to a tuple defining a numpy dtype
VMPdata_colID_dtype_map = {
4: ('time/s', '<f8'),
5: ('control/V/mA', '<f4'),
6: ('Ewe/V', '<f4'),
7: ('dQ/mA.h', '<f8'),
8: ('I/mA', '<f4'), # 8 is either I or <I> ??
9: ('Ece/V', '<f4'),
11: ('I/mA', '<f8'),
13: ('(Q-Qo)/mA.h', '<f8'),
16: ('Analog IN 1/V', '<f4'),
19: ('control/V', '<f4'),
20: ('control/mA', '<f4'),
23: ('dQ/mA.h', '<f8'), # Same as 7?
24: ('cycle number', '<f8'),
26: ('Rapp/Ohm', '<f4'),
27: ('Ewe-Ece/V', '<f4'),
32: ('freq/Hz', '<f4'),
33: ('|Ewe|/V', '<f4'),
34: ('|I|/A', '<f4'),
35: ('Phase(Z)/deg', '<f4'),
36: ('|Z|/Ohm', '<f4'),
37: ('Re(Z)/Ohm', '<f4'),
38: ('-Im(Z)/Ohm', '<f4'),
39: ('I Range', '<u2'),
69: ('R/Ohm', '<f4'),
70: ('P/W', '<f4'),
74: ('Energy/W.h', '<f8'),
75: ('Analog OUT/V', '<f4'),
76: ('<I>/mA', '<f4'),
77: ('<Ewe>/V', '<f4'),
78: ('Cs-2/µF-2', '<f4'),
96: ('|Ece|/V', '<f4'),
98: ('Phase(Zce)/deg', '<f4'),
99: ('|Zce|/Ohm', '<f4'),
100: ('Re(Zce)/Ohm', '<f4'),
101: ('-Im(Zce)/Ohm', '<f4'),
123: ('Energy charge/W.h', '<f8'),
124: ('Energy discharge/W.h', '<f8'),
125: ('Capacitance charge/µF', '<f8'),
126: ('Capacitance discharge/µF', '<f8'),
131: ('Ns', '<u2'),
163: ('|Estack|/V', '<f4'),
168: ('Rcmp/Ohm', '<f4'),
169: ('Cs/µF', '<f4'),
172: ('Cp/µF', '<f4'),
173: ('Cp-2/µF-2', '<f4'),
174: ('Ewe/V', '<f4'),
241: ('|E1|/V', '<f4'),
242: ('|E2|/V', '<f4'),
271: ('Phase(Z1) / deg', '<f4'),
272: ('Phase(Z2) / deg', '<f4'),
301: ('|Z1|/Ohm', '<f4'),
302: ('|Z2|/Ohm', '<f4'),
331: ('Re(Z1)/Ohm', '<f4'),
332: ('Re(Z2)/Ohm', '<f4'),
361: ('-Im(Z1)/Ohm', '<f4'),
362: ('-Im(Z2)/Ohm', '<f4'),
391: ('<E1>/V', '<f4'),
392: ('<E2>/V', '<f4'),
422: ('Phase(Zstack)/deg', '<f4'),
423: ('|Zstack|/Ohm', '<f4'),
424: ('Re(Zstack)/Ohm', '<f4'),
425: ('-Im(Zstack)/Ohm', '<f4'),
426: ('<Estack>/V', '<f4'),
430: ('Phase(Zwe-ce)/deg', '<f4'),
431: ('|Zwe-ce|/Ohm', '<f4'),
432: ('Re(Zwe-ce)/Ohm', '<f4'),
433: ('-Im(Zwe-ce)/Ohm', '<f4'),
434: ('(Q-Qo)/C', '<f4'),
435: ('dQ/C', '<f4'),
441: ('<Ecv>/V', '<f4'),
462: ('Temperature/°C', '<f4'),
467: ('Q charge/discharge/mA.h', '<f8'),
468: ('half cycle', '<u4'),
469: ('z cycle', '<u4'),
471: ('<Ece>/V', '<f4'),
473: ('THD Ewe/%', '<f4'),
474: ('THD I/%', '<f4'),
476: ('NSD Ewe/%', '<f4'),
477: ('NSD I/%', '<f4'),
479: ('NSR Ewe/%', '<f4'),
480: ('NSR I/%', '<f4'),
486: ('|Ewe h2|/V', '<f4'),
487: ('|Ewe h3|/V', '<f4'),
488: ('|Ewe h4|/V', '<f4'),
489: ('|Ewe h5|/V', '<f4'),
490: ('|Ewe h6|/V', '<f4'),
491: ('|Ewe h7|/V', '<f4'),
492: ('|I h2|/A', '<f4'),
493: ('|I h3|/A', '<f4'),
494: ('|I h4|/A', '<f4'),
495: ('|I h5|/A', '<f4'),
496: ('|I h6|/A', '<f4'),
497: ('|I h7|/A', '<f4'),
4: ("time/s", "<f8"),
5: ("control/V/mA", "<f4"),
6: ("Ewe/V", "<f4"),
7: ("dQ/mA.h", "<f8"),
8: ("I/mA", "<f4"), # 8 is either I or <I> ??
9: ("Ece/V", "<f4"),
11: ("I/mA", "<f8"),
13: ("(Q-Qo)/mA.h", "<f8"),
16: ("Analog IN 1/V", "<f4"),
19: ("control/V", "<f4"),
20: ("control/mA", "<f4"),
23: ("dQ/mA.h", "<f8"), # Same as 7?
24: ("cycle number", "<f8"),
26: ("Rapp/Ohm", "<f4"),
27: ("Ewe-Ece/V", "<f4"),
32: ("freq/Hz", "<f4"),
33: ("|Ewe|/V", "<f4"),
34: ("|I|/A", "<f4"),
35: ("Phase(Z)/deg", "<f4"),
36: ("|Z|/Ohm", "<f4"),
37: ("Re(Z)/Ohm", "<f4"),
38: ("-Im(Z)/Ohm", "<f4"),
39: ("I Range", "<u2"),
69: ("R/Ohm", "<f4"),
70: ("P/W", "<f4"),
74: ("Energy/W.h", "<f8"),
75: ("Analog OUT/V", "<f4"),
76: ("<I>/mA", "<f4"),
77: ("<Ewe>/V", "<f4"),
78: ("Cs-2/µF-2", "<f4"),
96: ("|Ece|/V", "<f4"),
98: ("Phase(Zce)/deg", "<f4"),
99: ("|Zce|/Ohm", "<f4"),
100: ("Re(Zce)/Ohm", "<f4"),
101: ("-Im(Zce)/Ohm", "<f4"),
123: ("Energy charge/W.h", "<f8"),
124: ("Energy discharge/W.h", "<f8"),
125: ("Capacitance charge/µF", "<f8"),
126: ("Capacitance discharge/µF", "<f8"),
131: ("Ns", "<u2"),
163: ("|Estack|/V", "<f4"),
168: ("Rcmp/Ohm", "<f4"),
169: ("Cs/µF", "<f4"),
172: ("Cp/µF", "<f4"),
173: ("Cp-2/µF-2", "<f4"),
174: ("Ewe/V", "<f4"),
241: ("|E1|/V", "<f4"),
242: ("|E2|/V", "<f4"),
271: ("Phase(Z1) / deg", "<f4"),
272: ("Phase(Z2) / deg", "<f4"),
301: ("|Z1|/Ohm", "<f4"),
302: ("|Z2|/Ohm", "<f4"),
331: ("Re(Z1)/Ohm", "<f4"),
332: ("Re(Z2)/Ohm", "<f4"),
361: ("-Im(Z1)/Ohm", "<f4"),
362: ("-Im(Z2)/Ohm", "<f4"),
391: ("<E1>/V", "<f4"),
392: ("<E2>/V", "<f4"),
422: ("Phase(Zstack)/deg", "<f4"),
423: ("|Zstack|/Ohm", "<f4"),
424: ("Re(Zstack)/Ohm", "<f4"),
425: ("-Im(Zstack)/Ohm", "<f4"),
426: ("<Estack>/V", "<f4"),
430: ("Phase(Zwe-ce)/deg", "<f4"),
431: ("|Zwe-ce|/Ohm", "<f4"),
432: ("Re(Zwe-ce)/Ohm", "<f4"),
433: ("-Im(Zwe-ce)/Ohm", "<f4"),
434: ("(Q-Qo)/C", "<f4"),
435: ("dQ/C", "<f4"),
438: ("step time/s", "<f8"),
441: ("<Ecv>/V", "<f4"),
462: ("Temperature/°C", "<f4"),
467: ("Q charge/discharge/mA.h", "<f8"),
468: ("half cycle", "<u4"),
469: ("z cycle", "<u4"),
471: ("<Ece>/V", "<f4"),
473: ("THD Ewe/%", "<f4"),
474: ("THD I/%", "<f4"),
476: ("NSD Ewe/%", "<f4"),
477: ("NSD I/%", "<f4"),
479: ("NSR Ewe/%", "<f4"),
480: ("NSR I/%", "<f4"),
486: ("|Ewe h2|/V", "<f4"),
487: ("|Ewe h3|/V", "<f4"),
488: ("|Ewe h4|/V", "<f4"),
489: ("|Ewe h5|/V", "<f4"),
490: ("|Ewe h6|/V", "<f4"),
491: ("|Ewe h7|/V", "<f4"),
492: ("|I h2|/A", "<f4"),
493: ("|I h3|/A", "<f4"),
494: ("|I h4|/A", "<f4"),
495: ("|I h5|/A", "<f4"),
496: ("|I h6|/A", "<f4"),
497: ("|I h7|/A", "<f4"),
498: ("Q charge/mA.h", "<f8"),
499: ("Q discharge/mA.h", "<f8"),
500: ("step time/s", "<f8"),
501: ("Efficiency/%", "<f8"),
502: ("Capacity/mA.h", "<f8"),
505: ("Rdc/Ohm", "<f4"),
509: ("Acir/Dcir Control", "<u1"),
}
# These column IDs define flags which are all stored packed in a single byte
# The values in the map are (name, bitmask, dtype)
VMPdata_colID_flag_map = {
1: ('mode', 0x03, np.uint8),
2: ('ox/red', 0x04, np.bool_),
3: ('error', 0x08, np.bool_),
21: ('control changes', 0x10, np.bool_),
31: ('Ns changes', 0x20, np.bool_),
65: ('counter inc.', 0x80, np.bool_),
1: ("mode", 0x03, np.uint8),
2: ("ox/red", 0x04, np.bool_),
3: ("error", 0x08, np.bool_),
21: ("control changes", 0x10, np.bool_),
31: ("Ns changes", 0x20, np.bool_),
65: ("counter inc.", 0x80, np.bool_),
}
def parse_BioLogic_date(date_text):
"""Parse a date from one of the various formats used by Bio-Logic files."""
date_formats = ['%m/%d/%y', '%m-%d-%y', '%m.%d.%y']
date_formats = ["%m/%d/%y", "%m-%d-%y", "%m.%d.%y"]
if isinstance(date_text, bytes):
date_string = date_text.decode('ascii')
date_string = date_text.decode("ascii")
else:
date_string = date_text
for date_format in date_formats:
@@ -263,8 +372,10 @@ def parse_BioLogic_date(date_text):
else:
break
else:
raise ValueError(f'Could not parse timestamp {date_string!r}'
f' with any of the formats {date_formats}')
raise ValueError(
f"Could not parse timestamp {date_string!r}"
f" with any of the formats {date_formats}"
)
return date(tm.tm_year, tm.tm_mon, tm.tm_mday)
@@ -291,9 +402,9 @@ def VMPdata_dtype_from_colIDs(colIDs):
# in the overall record is determined by the position of the first
# column ID of flag type. If there are several flags present,
# there is still only one 'flags' int
if 'flags' not in field_name_counts:
type_list.append(('flags', 'u1'))
field_name_counts['flags'] = 1
if "flags" not in field_name_counts:
type_list.append(("flags", "u1"))
field_name_counts["flags"] = 1
flag_name, flag_mask, flag_type = VMPdata_colID_flag_map[colID]
# TODO what happens if a flag colID has already been seen
# i.e. if flag_name is already present in flags_dict?
@@ -304,15 +415,15 @@ def VMPdata_dtype_from_colIDs(colIDs):
field_name_counts[field_name] += 1
count = field_name_counts[field_name]
if count > 1:
unique_field_name = '%s %d' % (field_name, count)
unique_field_name = "%s %d" % (field_name, count)
else:
unique_field_name = field_name
type_list.append((unique_field_name, field_type))
else:
raise NotImplementedError("Column ID {cid} after column {prev} "
"is unknown"
.format(cid=colID,
prev=type_list[-1][0]))
raise NotImplementedError(
"Column ID {cid} after column {prev} "
"is unknown".format(cid=colID, prev=type_list[-1][0])
)
return np.dtype(type_list), flags_dict
@@ -323,12 +434,13 @@ def read_VMP_modules(fileobj, read_module_data=True):
N.B. the offset yielded is the offset to the start of the data i.e. after
the end of the header. The data runs from (offset) to (offset+length)"""
while True:
module_magic = fileobj.read(len(b'MODULE'))
module_magic = fileobj.read(len(b"MODULE"))
if len(module_magic) == 0: # end of file
break
elif module_magic != b'MODULE':
raise ValueError("Found %r, expecting start of new VMP MODULE"
% module_magic)
elif module_magic != b"MODULE":
raise ValueError(
"Found %r, expecting start of new VMP MODULE" % module_magic
)
hdr_bytes = fileobj.read(VMPmodule_hdr.itemsize)
if len(hdr_bytes) < VMPmodule_hdr.itemsize:
@@ -336,23 +448,24 @@ def read_VMP_modules(fileobj, read_module_data=True):
hdr = np.frombuffer(hdr_bytes, dtype=VMPmodule_hdr, count=1)
hdr_dict = dict(((n, hdr[n][0]) for n in VMPmodule_hdr.names))
hdr_dict['offset'] = fileobj.tell()
hdr_dict["offset"] = fileobj.tell()
if read_module_data:
hdr_dict['data'] = fileobj.read(hdr_dict['length'])
if len(hdr_dict['data']) != hdr_dict['length']:
raise IOError("""Unexpected end of file while reading data
hdr_dict["data"] = fileobj.read(hdr_dict["length"])
if len(hdr_dict["data"]) != hdr_dict["length"]:
raise IOError(
"""Unexpected end of file while reading data
current module: %s
length read: %d
length expected: %d""" % (hdr_dict['longname'],
len(hdr_dict['data']),
hdr_dict['length']))
length expected: %d"""
% (hdr_dict["longname"], len(hdr_dict["data"]), hdr_dict["length"])
)
yield hdr_dict
else:
yield hdr_dict
fileobj.seek(hdr_dict['offset'] + hdr_dict['length'], SEEK_SET)
fileobj.seek(hdr_dict["offset"] + hdr_dict["length"], SEEK_SET)
MPR_MAGIC = b'BIO-LOGIC MODULAR FILE\x1a'.ljust(48) + b'\x00\x00\x00\x00'
MPR_MAGIC = b"BIO-LOGIC MODULAR FILE\x1a".ljust(48) + b"\x00\x00\x00\x00"
class MPRfile:
@@ -374,80 +487,87 @@ class MPRfile:
def __init__(self, file_or_path):
self.loop_index = None
if isinstance(file_or_path, str):
mpr_file = open(file_or_path, 'rb')
mpr_file = open(file_or_path, "rb")
else:
mpr_file = file_or_path
magic = mpr_file.read(len(MPR_MAGIC))
if magic != MPR_MAGIC:
raise ValueError('Invalid magic for .mpr file: %s' % magic)
raise ValueError("Invalid magic for .mpr file: %s" % magic)
modules = list(read_VMP_modules(mpr_file))
self.modules = modules
settings_mod, = (m for m in modules if m['shortname'] == b'VMP Set ')
data_module, = (m for m in modules if m['shortname'] == b'VMP data ')
maybe_loop_module = [m for m in modules if m['shortname'] == b'VMP loop ']
maybe_log_module = [m for m in modules if m['shortname'] == b'VMP LOG ']
(settings_mod,) = (m for m in modules if m["shortname"] == b"VMP Set ")
(data_module,) = (m for m in modules if m["shortname"] == b"VMP data ")
maybe_loop_module = [m for m in modules if m["shortname"] == b"VMP loop "]
maybe_log_module = [m for m in modules if m["shortname"] == b"VMP LOG "]
n_data_points = np.frombuffer(data_module['data'][:4], dtype='<u4')
n_columns = np.frombuffer(data_module['data'][4:5], dtype='u1').item()
n_data_points = np.frombuffer(data_module["data"][:4], dtype="<u4")
n_columns = np.frombuffer(data_module["data"][4:5], dtype="u1").item()
if data_module['version'] == 0:
column_types = np.frombuffer(data_module['data'][5:], dtype='u1',
count=n_columns)
remaining_headers = data_module['data'][5 + n_columns:100]
main_data = data_module['data'][100:]
elif data_module['version'] in [2, 3]:
column_types = np.frombuffer(data_module['data'][5:], dtype='<u2',
count=n_columns)
if data_module["version"] == 0:
column_types = np.frombuffer(
data_module["data"][5:], dtype="u1", count=n_columns
)
remaining_headers = data_module["data"][5 + n_columns:100]
main_data = data_module["data"][100:]
elif data_module["version"] in [2, 3]:
column_types = np.frombuffer(
data_module["data"][5:], dtype="<u2", count=n_columns
)
# There are bytes of data before the main array starts
if data_module['version'] == 3:
if data_module["version"] == 3:
num_bytes_before = 406 # version 3 added `\x01` to the start
else:
num_bytes_before = 405
remaining_headers = data_module['data'][5 + 2 * n_columns:405]
main_data = data_module['data'][num_bytes_before:]
remaining_headers = data_module["data"][5 + 2 * n_columns:405]
main_data = data_module["data"][num_bytes_before:]
else:
raise ValueError("Unrecognised version for data module: %d" %
data_module['version'])
raise ValueError(
"Unrecognised version for data module: %d" % data_module["version"]
)
assert(not any(remaining_headers))
assert not any(remaining_headers)
self.dtype, self.flags_dict = VMPdata_dtype_from_colIDs(column_types)
self.data = np.frombuffer(main_data, dtype=self.dtype)
assert(self.data.shape[0] == n_data_points)
assert self.data.shape[0] == n_data_points
# No idea what these 'column types' mean or even if they are actually
# column types at all
self.version = int(data_module['version'])
self.version = int(data_module["version"])
self.cols = column_types
self.npts = n_data_points
self.startdate = parse_BioLogic_date(settings_mod['date'])
self.startdate = parse_BioLogic_date(settings_mod["date"])
if maybe_loop_module:
loop_module, = maybe_loop_module
if loop_module['version'] == 0:
self.loop_index = np.fromstring(loop_module['data'][4:],
dtype='<u4')
self.loop_index = np.trim_zeros(self.loop_index, 'b')
(loop_module,) = maybe_loop_module
if loop_module["version"] == 0:
self.loop_index = np.fromstring(loop_module["data"][4:], dtype="<u4")
self.loop_index = np.trim_zeros(self.loop_index, "b")
else:
raise ValueError("Unrecognised version for data module: %d" %
data_module['version'])
raise ValueError(
"Unrecognised version for data module: %d" % data_module["version"]
)
if maybe_log_module:
log_module, = maybe_log_module
self.enddate = parse_BioLogic_date(log_module['date'])
(log_module,) = maybe_log_module
self.enddate = parse_BioLogic_date(log_module["date"])
# There is a timestamp at either 465 or 469 bytes
# I can't find any reason why it is one or the other in any
# given file
ole_timestamp1 = np.frombuffer(log_module['data'][465:],
dtype='<f8', count=1)
ole_timestamp2 = np.frombuffer(log_module['data'][469:],
dtype='<f8', count=1)
ole_timestamp3 = np.frombuffer(log_module['data'][473:],
dtype='<f8', count=1)
ole_timestamp4 = np.frombuffer(log_module['data'][585:],
dtype='<f8', count=1)
ole_timestamp1 = np.frombuffer(
log_module["data"][465:], dtype="<f8", count=1
)
ole_timestamp2 = np.frombuffer(
log_module["data"][469:], dtype="<f8", count=1
)
ole_timestamp3 = np.frombuffer(
log_module["data"][473:], dtype="<f8", count=1
)
ole_timestamp4 = np.frombuffer(
log_module["data"][585:], dtype="<f8", count=1
)
if ole_timestamp1 > 40000 and ole_timestamp1 < 50000:
ole_timestamp = ole_timestamp1
@@ -465,14 +585,16 @@ class MPRfile:
ole_timedelta = timedelta(days=ole_timestamp[0])
self.timestamp = ole_base + ole_timedelta
if self.startdate != self.timestamp.date():
raise ValueError("Date mismatch:\n"
+ " Start date: %s\n" % self.startdate
+ " End date: %s\n" % self.enddate
+ " Timestamp: %s\n" % self.timestamp)
raise ValueError(
"Date mismatch:\n"
+ " Start date: %s\n" % self.startdate
+ " End date: %s\n" % self.enddate
+ " Timestamp: %s\n" % self.timestamp
)
def get_flag(self, flagname):
if flagname in self.flags_dict:
mask, dtype = self.flags_dict[flagname]
return np.array(self.data['flags'] & mask, dtype=dtype)
return np.array(self.data["flags"] & mask, dtype=dtype)
else:
raise AttributeError("Flag '%s' not present" % flagname)

View File

@@ -4,4 +4,4 @@
from .BioLogic import MPRfile, MPTfile
__all__ = ['MPRfile', 'MPTfile']
__all__ = ["MPRfile", "MPTfile"]

View File

@@ -16,43 +16,43 @@ from copy import copy
# $ mdb-schema <result.res> oracle
mdb_tables = [
'Version_Table',
'Global_Table',
'Resume_Table',
'Channel_Normal_Table',
'Channel_Statistic_Table',
'Auxiliary_Table',
'Event_Table',
'Smart_Battery_Info_Table',
'Smart_Battery_Data_Table',
"Version_Table",
"Global_Table",
"Resume_Table",
"Channel_Normal_Table",
"Channel_Statistic_Table",
"Auxiliary_Table",
"Event_Table",
"Smart_Battery_Info_Table",
"Smart_Battery_Data_Table",
]
mdb_5_23_tables = [
'MCell_Aci_Data_Table',
'Aux_Global_Data_Table',
'Smart_Battery_Clock_Stretch_Table',
"MCell_Aci_Data_Table",
"Aux_Global_Data_Table",
"Smart_Battery_Clock_Stretch_Table",
]
mdb_5_26_tables = [
'Can_BMS_Info_Table',
'Can_BMS_Data_Table',
"Can_BMS_Info_Table",
"Can_BMS_Data_Table",
]
mdb_tables_text = {
'Version_Table',
'Global_Table',
'Event_Table',
'Smart_Battery_Info_Table',
'Can_BMS_Info_Table',
"Version_Table",
"Global_Table",
"Event_Table",
"Smart_Battery_Info_Table",
"Can_BMS_Info_Table",
}
mdb_tables_numeric = {
'Resume_Table',
'Channel_Normal_Table',
'Channel_Statistic_Table',
'Auxiliary_Table',
'Smart_Battery_Data_Table',
'MCell_Aci_Data_Table',
'Aux_Global_Data_Table',
'Smart_Battery_Clock_Stretch_Table',
'Can_BMS_Data_Table',
"Resume_Table",
"Channel_Normal_Table",
"Channel_Statistic_Table",
"Auxiliary_Table",
"Smart_Battery_Data_Table",
"MCell_Aci_Data_Table",
"Aux_Global_Data_Table",
"Smart_Battery_Clock_Stretch_Table",
"Can_BMS_Data_Table",
}
mdb_create_scripts = {
@@ -191,7 +191,7 @@ CREATE TABLE Event_Table
Event_Type INTEGER,
Event_Describe TEXT
); """,
"Smart_Battery_Info_Table": """
"Smart_Battery_Info_Table": """
CREATE TABLE Smart_Battery_Info_Table
(
Test_ID INTEGER PRIMARY KEY REFERENCES Global_Table(Test_ID),
@@ -271,7 +271,7 @@ CREATE TABLE Smart_Battery_Data_Table
REFERENCES Channel_Normal_Table (Test_ID, Data_Point)
); """,
# The following tables are not present in version 1.14, but are in 5.23
'MCell_Aci_Data_Table': """
"MCell_Aci_Data_Table": """
CREATE TABLE MCell_Aci_Data_Table
(
Test_ID INTEGER,
@@ -285,7 +285,7 @@ CREATE TABLE MCell_Aci_Data_Table
FOREIGN KEY (Test_ID, Data_Point)
REFERENCES Channel_Normal_Table (Test_ID, Data_Point)
);""",
'Aux_Global_Data_Table': """
"Aux_Global_Data_Table": """
CREATE TABLE Aux_Global_Data_Table
(
Channel_Index INTEGER,
@@ -295,7 +295,7 @@ CREATE TABLE Aux_Global_Data_Table
Unit TEXT,
PRIMARY KEY (Channel_Index, Auxiliary_Index, Data_Type)
);""",
'Smart_Battery_Clock_Stretch_Table': """
"Smart_Battery_Clock_Stretch_Table": """
CREATE TABLE Smart_Battery_Clock_Stretch_Table
(
Test_ID INTEGER,
@@ -344,7 +344,7 @@ CREATE TABLE Smart_Battery_Clock_Stretch_Table
REFERENCES Channel_Normal_Table (Test_ID, Data_Point)
);""",
# The following tables are not present in version 5.23, but are in 5.26
'Can_BMS_Info_Table': """
"Can_BMS_Info_Table": """
CREATE TABLE "Can_BMS_Info_Table"
(
Channel_Index INTEGER PRIMARY KEY,
@@ -352,7 +352,7 @@ CREATE TABLE "Can_BMS_Info_Table"
CAN_Configuration TEXT
);
""",
'Can_BMS_Data_Table': """
"Can_BMS_Data_Table": """
CREATE TABLE "Can_BMS_Data_Table"
(
Test_ID INTEGER,
@@ -371,7 +371,8 @@ mdb_create_indices = {
CREATE UNIQUE INDEX data_point_index ON Channel_Normal_Table (Test_ID, Data_Point);
CREATE INDEX voltage_index ON Channel_Normal_Table (Test_ID, Voltage);
CREATE INDEX test_time_index ON Channel_Normal_Table (Test_ID, Test_Time);
"""}
"""
}
helper_table_script = """
CREATE TEMPORARY TABLE capacity_helper(
@@ -438,17 +439,19 @@ CREATE VIEW IF NOT EXISTS Capacity_View
def mdb_get_data_text(s3db, filename, table):
print("Reading %s..." % table)
insert_pattern = re.compile(
r'INSERT INTO "\w+" \([^)]+?\) VALUES \(("[^"]*"|[^")])+?\);\n',
re.IGNORECASE
r'INSERT INTO "\w+" \([^)]+?\) VALUES \(("[^"]*"|[^")])+?\);\n', re.IGNORECASE
)
try:
# Initialize values to avoid NameError in except clause
mdb_output = ''
mdb_output = ""
insert_match = None
with sp.Popen(['mdb-export', '-I', 'postgres', filename, table],
bufsize=-1, stdin=sp.DEVNULL, stdout=sp.PIPE,
universal_newlines=True) as mdb_sql:
with sp.Popen(
["mdb-export", "-I", "postgres", filename, table],
bufsize=-1,
stdin=sp.DEVNULL,
stdout=sp.PIPE,
universal_newlines=True,
) as mdb_sql:
mdb_output = mdb_sql.stdout.read()
while len(mdb_output) > 0:
insert_match = insert_pattern.match(mdb_output)
@@ -459,8 +462,10 @@ def mdb_get_data_text(s3db, filename, table):
except OSError as e:
if e.errno == 2:
raise RuntimeError('Could not locate the `mdb-export` executable. '
'Check that mdbtools is properly installed.')
raise RuntimeError(
"Could not locate the `mdb-export` executable. "
"Check that mdbtools is properly installed."
)
else:
raise
except BaseException:
@@ -475,14 +480,18 @@ def mdb_get_data_text(s3db, filename, table):
def mdb_get_data_numeric(s3db, filename, table):
print("Reading %s..." % table)
try:
with sp.Popen(['mdb-export', filename, table],
bufsize=-1, stdin=sp.DEVNULL, stdout=sp.PIPE,
universal_newlines=True) as mdb_sql:
with sp.Popen(
["mdb-export", filename, table],
bufsize=-1,
stdin=sp.DEVNULL,
stdout=sp.PIPE,
universal_newlines=True,
) as mdb_sql:
mdb_csv = csv.reader(mdb_sql.stdout)
mdb_headers = next(mdb_csv)
quoted_headers = ['"%s"' % h for h in mdb_headers]
joined_headers = ', '.join(quoted_headers)
joined_placemarks = ', '.join(['?' for h in mdb_headers])
joined_headers = ", ".join(quoted_headers)
joined_placemarks = ", ".join(["?" for h in mdb_headers])
insert_stmt = 'INSERT INTO "{0}" ({1}) VALUES ({2});'.format(
table,
joined_headers,
@@ -492,8 +501,10 @@ def mdb_get_data_numeric(s3db, filename, table):
s3db.commit()
except OSError as e:
if e.errno == 2:
raise RuntimeError('Could not locate the `mdb-export` executable. '
'Check that mdbtools is properly installed.')
raise RuntimeError(
"Could not locate the `mdb-export` executable. "
"Check that mdbtools is properly installed."
)
else:
raise
@@ -504,7 +515,9 @@ def mdb_get_data(s3db, filename, table):
elif table in mdb_tables_numeric:
mdb_get_data_numeric(s3db, filename, table)
else:
raise ValueError("'%s' is in neither mdb_tables_text nor mdb_tables_numeric" % table)
raise ValueError(
"'%s' is in neither mdb_tables_text nor mdb_tables_numeric" % table
)
def mdb_get_version(filename):
@@ -514,9 +527,13 @@ def mdb_get_version(filename):
"""
print("Reading version number...")
try:
with sp.Popen(['mdb-export', filename, 'Version_Table'],
bufsize=-1, stdin=sp.DEVNULL, stdout=sp.PIPE,
universal_newlines=True) as mdb_sql:
with sp.Popen(
["mdb-export", filename, "Version_Table"],
bufsize=-1,
stdin=sp.DEVNULL,
stdout=sp.PIPE,
universal_newlines=True,
) as mdb_sql:
mdb_csv = csv.reader(mdb_sql.stdout)
mdb_headers = next(mdb_csv)
mdb_values = next(mdb_csv)
@@ -525,23 +542,31 @@ def mdb_get_version(filename):
except StopIteration:
pass
else:
raise ValueError('Version_Table of %s lists multiple versions' % filename)
raise ValueError(
"Version_Table of %s lists multiple versions" % filename
)
except OSError as e:
if e.errno == 2:
raise RuntimeError('Could not locate the `mdb-export` executable. '
'Check that mdbtools is properly installed.')
raise RuntimeError(
"Could not locate the `mdb-export` executable. "
"Check that mdbtools is properly installed."
)
else:
raise
if 'Version_Schema_Field' not in mdb_headers:
raise ValueError('Version_Table of %s does not contain a Version_Schema_Field column'
% filename)
if "Version_Schema_Field" not in mdb_headers:
raise ValueError(
"Version_Table of %s does not contain a Version_Schema_Field column"
% filename
)
version_fields = dict(zip(mdb_headers, mdb_values))
version_text = version_fields['Version_Schema_Field']
version_match = re.fullmatch('Results File ([.0-9]+)', version_text)
version_text = version_fields["Version_Schema_Field"]
version_match = re.fullmatch("Results File ([.0-9]+)", version_text)
if not version_match:
raise ValueError('File version "%s" did not match expected format' % version_text)
raise ValueError(
'File version "%s" did not match expected format' % version_text
)
version_string = version_match.group(1)
version_tuple = tuple(map(int, version_string.split('.')))
version_tuple = tuple(map(int, version_string.split(".")))
return version_tuple
@@ -581,12 +606,14 @@ def main(argv=None):
parser = argparse.ArgumentParser(
description="Convert Arbin .res files to sqlite3 databases using mdb-export",
)
parser.add_argument('input_file', type=str) # need file name to pass to sp.Popen
parser.add_argument('output_file', type=str) # need file name to pass to sqlite3.connect
parser.add_argument("input_file", type=str) # need file name to pass to sp.Popen
parser.add_argument(
"output_file", type=str
) # need file name to pass to sqlite3.connect
args = parser.parse_args(argv)
convert_arbin_to_sqlite(args.input_file, args.output_file)
if __name__ == '__main__':
if __name__ == "__main__":
main()

View File

@@ -7,35 +7,35 @@ import os.path
from setuptools import setup
with open(os.path.join(os.path.dirname(__file__), 'README.md')) as f:
with open(os.path.join(os.path.dirname(__file__), "README.md")) as f:
readme = f.read()
setup(
name='galvani',
version='0.2.1',
description='Open and process battery charger log data files',
name="galvani",
version="0.2.1",
description="Open and process battery charger log data files",
long_description=readme,
long_description_content_type="text/markdown",
url='https://github.com/echemdata/galvani',
author='Chris Kerr',
author_email='chris.kerr@mykolab.ch',
license='GPLv3+',
url="https://github.com/echemdata/galvani",
author="Chris Kerr",
author_email="chris.kerr@mykolab.ch",
license="GPLv3+",
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)',
'Natural Language :: English',
'Programming Language :: Python :: 3 :: Only',
'Topic :: Scientific/Engineering :: Chemistry',
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
"Natural Language :: English",
"Programming Language :: Python :: 3 :: Only",
"Topic :: Scientific/Engineering :: Chemistry",
],
packages=['galvani'],
packages=["galvani"],
entry_points={
'console_scripts': [
'res2sqlite = galvani.res2sqlite:main',
"console_scripts": [
"res2sqlite = galvani.res2sqlite:main",
],
},
python_requires='>=3.6',
install_requires=['numpy'],
tests_require=['pytest'],
python_requires=">=3.6",
install_requires=["numpy"],
tests_require=["pytest"],
)

View File

@@ -9,7 +9,7 @@ import os
import pytest
@pytest.fixture(scope='session')
@pytest.fixture(scope="session")
def testdata_dir():
"""Path to the testdata directory."""
return os.path.join(os.path.dirname(__file__), 'testdata')
return os.path.join(os.path.dirname(__file__), "testdata")

View File

@@ -13,8 +13,7 @@ import pytest
from galvani import res2sqlite
have_mdbtools = (subprocess.call(['which', 'mdb-export'],
stdout=subprocess.DEVNULL) == 0)
have_mdbtools = subprocess.call(["which", "mdb-export"], stdout=subprocess.DEVNULL) == 0
def test_res2sqlite_help():
@@ -22,39 +21,47 @@ def test_res2sqlite_help():
This should work even when mdbtools is not installed.
"""
help_output = subprocess.check_output(['res2sqlite', '--help'])
assert b'Convert Arbin .res files to sqlite3 databases' in help_output
help_output = subprocess.check_output(["res2sqlite", "--help"])
assert b"Convert Arbin .res files to sqlite3 databases" in help_output
@pytest.mark.skipif(have_mdbtools, reason='This tests the failure when mdbtools is not installed')
@pytest.mark.skipif(
have_mdbtools, reason="This tests the failure when mdbtools is not installed"
)
def test_convert_Arbin_no_mdbtools(testdata_dir, tmpdir):
"""Checks that the conversion fails with an appropriate error message."""
res_file = os.path.join(testdata_dir, 'arbin1.res')
sqlite_file = os.path.join(str(tmpdir), 'arbin1.s3db')
with pytest.raises(RuntimeError, match="Could not locate the `mdb-export` executable."):
res_file = os.path.join(testdata_dir, "arbin1.res")
sqlite_file = os.path.join(str(tmpdir), "arbin1.s3db")
with pytest.raises(
RuntimeError, match="Could not locate the `mdb-export` executable."
):
res2sqlite.convert_arbin_to_sqlite(res_file, sqlite_file)
@pytest.mark.skipif(not have_mdbtools, reason='Reading the Arbin file requires MDBTools')
@pytest.mark.parametrize('basename', ['arbin1', 'UM34_Test005E'])
@pytest.mark.skipif(
not have_mdbtools, reason="Reading the Arbin file requires MDBTools"
)
@pytest.mark.parametrize("basename", ["arbin1", "UM34_Test005E"])
def test_convert_Arbin_to_sqlite_function(testdata_dir, tmpdir, basename):
"""Convert an Arbin file to SQLite using the functional interface."""
res_file = os.path.join(testdata_dir, basename + '.res')
sqlite_file = os.path.join(str(tmpdir), basename + '.s3db')
res_file = os.path.join(testdata_dir, basename + ".res")
sqlite_file = os.path.join(str(tmpdir), basename + ".s3db")
res2sqlite.convert_arbin_to_sqlite(res_file, sqlite_file)
assert os.path.isfile(sqlite_file)
with sqlite3.connect(sqlite_file) as conn:
csr = conn.execute('SELECT * FROM Channel_Normal_Table;')
csr = conn.execute("SELECT * FROM Channel_Normal_Table;")
csr.fetchone()
@pytest.mark.skipif(not have_mdbtools, reason='Reading the Arbin file requires MDBTools')
@pytest.mark.skipif(
not have_mdbtools, reason="Reading the Arbin file requires MDBTools"
)
def test_convert_cmdline(testdata_dir, tmpdir):
"""Checks that the conversion fails with an appropriate error message."""
res_file = os.path.join(testdata_dir, 'arbin1.res')
sqlite_file = os.path.join(str(tmpdir), 'arbin1.s3db')
subprocess.check_call(['res2sqlite', res_file, sqlite_file])
res_file = os.path.join(testdata_dir, "arbin1.res")
sqlite_file = os.path.join(str(tmpdir), "arbin1.s3db")
subprocess.check_call(["res2sqlite", res_file, sqlite_file])
assert os.path.isfile(sqlite_file)
with sqlite3.connect(sqlite_file) as conn:
csr = conn.execute('SELECT * FROM Channel_Normal_Table;')
csr = conn.execute("SELECT * FROM Channel_Normal_Table;")
csr.fetchone()

View File

@@ -17,33 +17,55 @@ from galvani.BioLogic import MPTfileCSV # not exported
def test_open_MPT(testdata_dir):
mpt1, comments = MPTfile(os.path.join(testdata_dir, 'bio_logic1.mpt'))
mpt1, comments = MPTfile(os.path.join(testdata_dir, "bio_logic1.mpt"))
assert comments == []
assert mpt1.dtype.names == (
"mode", "ox/red", "error", "control changes", "Ns changes",
"counter inc.", "time/s", "control/V/mA", "Ewe/V", "dQ/mA.h", "P/W",
"I/mA", "(Q-Qo)/mA.h", "x",
"mode",
"ox/red",
"error",
"control changes",
"Ns changes",
"counter inc.",
"time/s",
"control/V/mA",
"Ewe/V",
"dQ/mA.h",
"P/W",
"I/mA",
"(Q-Qo)/mA.h",
"x",
)
def test_open_MPT_fails_for_bad_file(testdata_dir):
with pytest.raises(ValueError, match='Bad first line'):
MPTfile(os.path.join(testdata_dir, 'bio_logic1.mpr'))
with pytest.raises(ValueError, match="Bad first line"):
MPTfile(os.path.join(testdata_dir, "bio_logic1.mpr"))
def test_open_MPT_csv(testdata_dir):
mpt1, comments = MPTfileCSV(os.path.join(testdata_dir, 'bio_logic1.mpt'))
mpt1, comments = MPTfileCSV(os.path.join(testdata_dir, "bio_logic1.mpt"))
assert comments == []
assert mpt1.fieldnames == [
"mode", "ox/red", "error", "control changes", "Ns changes",
"counter inc.", "time/s", "control/V/mA", "Ewe/V", "dq/mA.h", "P/W",
"<I>/mA", "(Q-Qo)/mA.h", "x",
"mode",
"ox/red",
"error",
"control changes",
"Ns changes",
"counter inc.",
"time/s",
"control/V/mA",
"Ewe/V",
"dq/mA.h",
"P/W",
"<I>/mA",
"(Q-Qo)/mA.h",
"x",
]
def test_open_MPT_csv_fails_for_bad_file(testdata_dir):
with pytest.raises((ValueError, UnicodeDecodeError)):
MPTfileCSV(os.path.join(testdata_dir, 'bio_logic1.mpr'))
MPTfileCSV(os.path.join(testdata_dir, "bio_logic1.mpr"))
def test_colID_map_uniqueness():
@@ -59,13 +81,16 @@ def test_colID_map_uniqueness():
assert not set(field_names).intersection(flag_names)
@pytest.mark.parametrize('colIDs, expected', [
([1, 2, 3], [('flags', 'u1')]),
([4, 6], [('time/s', '<f8'), ('Ewe/V', '<f4')]),
([1, 4, 21], [('flags', 'u1'), ('time/s', '<f8')]),
([4, 6, 4], [('time/s', '<f8'), ('Ewe/V', '<f4'), ('time/s 2', '<f8')]),
([4, 9999], NotImplementedError),
])
@pytest.mark.parametrize(
"colIDs, expected",
[
([1, 2, 3], [("flags", "u1")]),
([4, 6], [("time/s", "<f8"), ("Ewe/V", "<f4")]),
([1, 4, 21], [("flags", "u1"), ("time/s", "<f8")]),
([4, 6, 4], [("time/s", "<f8"), ("Ewe/V", "<f4"), ("time/s 2", "<f8")]),
([4, 9999], NotImplementedError),
],
)
def test_colID_to_dtype(colIDs, expected):
"""Test converting column ID to numpy dtype."""
if isinstance(expected, type) and issubclass(expected, Exception):
@@ -77,14 +102,17 @@ def test_colID_to_dtype(colIDs, expected):
assert dtype == expected_dtype
@pytest.mark.parametrize('data, expected', [
('02/23/17', date(2017, 2, 23)),
('10-03-05', date(2005, 10, 3)),
('11.12.20', date(2020, 11, 12)),
(b'01/02/03', date(2003, 1, 2)),
('13.08.07', ValueError),
('03-04/05', ValueError),
])
@pytest.mark.parametrize(
"data, expected",
[
("02/23/17", date(2017, 2, 23)),
("10-03-05", date(2005, 10, 3)),
("11.12.20", date(2020, 11, 12)),
(b"01/02/03", date(2003, 1, 2)),
("13.08.07", ValueError),
("03-04/05", ValueError),
],
)
def test_parse_BioLogic_date(data, expected):
"""Test the parse_BioLogic_date function."""
if isinstance(expected, type) and issubclass(expected, Exception):
@@ -95,51 +123,54 @@ def test_parse_BioLogic_date(data, expected):
assert result == expected
@pytest.mark.parametrize('filename, startdate, enddate', [
('bio_logic1.mpr', '2011-10-29', '2011-10-31'),
('bio_logic2.mpr', '2012-09-27', '2012-09-27'),
('bio_logic3.mpr', '2013-03-27', '2013-03-27'),
('bio_logic4.mpr', '2011-11-01', '2011-11-02'),
('bio_logic5.mpr', '2013-01-28', '2013-01-28'),
# bio_logic6.mpr has no end date because it does not have a VMP LOG module
('bio_logic6.mpr', '2012-09-11', None),
# C019P-0ppb-A_C01.mpr stores the date in a different format
('C019P-0ppb-A_C01.mpr', '2019-03-14', '2019-03-14'),
('Rapp_Error.mpr', '2010-12-02', '2010-12-02'),
('Ewe_Error.mpr', '2021-11-18', '2021-11-19'),
])
@pytest.mark.parametrize(
"filename, startdate, enddate",
[
("bio_logic1.mpr", "2011-10-29", "2011-10-31"),
("bio_logic2.mpr", "2012-09-27", "2012-09-27"),
("bio_logic3.mpr", "2013-03-27", "2013-03-27"),
("bio_logic4.mpr", "2011-11-01", "2011-11-02"),
("bio_logic5.mpr", "2013-01-28", "2013-01-28"),
# bio_logic6.mpr has no end date because it does not have a VMP LOG module
("bio_logic6.mpr", "2012-09-11", None),
# C019P-0ppb-A_C01.mpr stores the date in a different format
("C019P-0ppb-A_C01.mpr", "2019-03-14", "2019-03-14"),
("Rapp_Error.mpr", "2010-12-02", "2010-12-02"),
("Ewe_Error.mpr", "2021-11-18", "2021-11-19"),
],
)
def test_MPR_dates(testdata_dir, filename, startdate, enddate):
"""Check that the start and end dates in .mpr files are read correctly."""
mpr = MPRfile(os.path.join(testdata_dir, filename))
assert mpr.startdate.strftime('%Y-%m-%d') == startdate
assert mpr.startdate.strftime("%Y-%m-%d") == startdate
if enddate:
assert mpr.enddate.strftime('%Y-%m-%d') == enddate
assert mpr.enddate.strftime("%Y-%m-%d") == enddate
else:
assert not hasattr(mpr, 'enddate')
assert not hasattr(mpr, "enddate")
def test_open_MPR_fails_for_bad_file(testdata_dir):
with pytest.raises(ValueError, match='Invalid magic for .mpr file'):
MPRfile(os.path.join(testdata_dir, 'arbin1.res'))
with pytest.raises(ValueError, match="Invalid magic for .mpr file"):
MPRfile(os.path.join(testdata_dir, "arbin1.res"))
def timestamp_from_comments(comments):
for line in comments:
time_match = re.match(b'Acquisition started on : ([0-9/]+ [0-9:]+)', line)
time_match = re.match(b"Acquisition started on : ([0-9/]+ [0-9:]+)", line)
if time_match:
timestamp = datetime.strptime(time_match.group(1).decode('ascii'),
'%m/%d/%Y %H:%M:%S')
timestamp = datetime.strptime(
time_match.group(1).decode("ascii"), "%m/%d/%Y %H:%M:%S"
)
return timestamp
raise AttributeError("No timestamp in comments")
def assert_MPR_matches_MPT(mpr, mpt, comments):
def assert_field_matches(fieldname, decimal):
if fieldname in mpr.dtype.fields:
assert_array_almost_equal(mpr.data[fieldname],
mpt[fieldname],
decimal=decimal)
assert_array_almost_equal(
mpr.data[fieldname], mpt[fieldname], decimal=decimal
)
def assert_field_exact(fieldname):
if fieldname in mpr.dtype.fields:
@@ -154,18 +185,18 @@ def assert_MPR_matches_MPT(mpr, mpt, comments):
# Nothing uses the 0x40 bit of the flags
assert_array_equal(mpr.get_flag("counter inc."), mpt["counter inc."])
assert_array_almost_equal(mpr.data["time/s"],
mpt["time/s"],
decimal=2) # 2 digits in CSV
assert_array_almost_equal(
mpr.data["time/s"], mpt["time/s"], decimal=2
) # 2 digits in CSV
assert_field_matches("control/V/mA", decimal=6)
assert_field_matches("control/V", decimal=6)
assert_array_almost_equal(mpr.data["Ewe/V"],
mpt["Ewe/V"],
decimal=6) # 32 bit float precision
assert_array_almost_equal(
mpr.data["Ewe/V"], mpt["Ewe/V"], decimal=6
) # 32 bit float precision
assert_field_matches("dQ/mA.h", decimal=17) # 64 bit float precision
assert_field_matches("dQ/mA.h", decimal=16) # 64 bit float precision
assert_field_matches("P/W", decimal=10) # 32 bit float precision for 1.xxE-5
assert_field_matches("I/mA", decimal=6) # 32 bit float precision
@@ -173,43 +204,50 @@ def assert_MPR_matches_MPT(mpr, mpt, comments):
assert_field_matches("(Q-Qo)/C", decimal=6) # 32 bit float precision
try:
assert timestamp_from_comments(comments) == mpr.timestamp
assert timestamp_from_comments(comments) == mpr.timestamp.replace(microsecond=0)
except AttributeError:
pass
@pytest.mark.parametrize('basename', [
'bio_logic1',
'bio_logic2',
# No bio_logic3.mpt file
'bio_logic4',
# bio_logic5 and bio_logic6 are special cases
'CV_C01',
'121_CA_455nm_6V_30min_C01',
])
@pytest.mark.parametrize(
"basename",
[
"bio_logic1",
"bio_logic2",
# No bio_logic3.mpt file
"bio_logic4",
# bio_logic5 and bio_logic6 are special cases
"CV_C01",
"121_CA_455nm_6V_30min_C01",
"020-formation_CB5",
],
)
def test_MPR_matches_MPT(testdata_dir, basename):
"""Check the MPR parser against the MPT parser.
Load a binary .mpr file and a text .mpt file which should contain
exactly the same data. Check that the loaded data actually match.
"""
binpath = os.path.join(testdata_dir, basename + '.mpr')
txtpath = os.path.join(testdata_dir, basename + '.mpt')
binpath = os.path.join(testdata_dir, basename + ".mpr")
txtpath = os.path.join(testdata_dir, basename + ".mpt")
mpr = MPRfile(binpath)
mpt, comments = MPTfile(txtpath)
mpt, comments = MPTfile(txtpath, encoding="latin1")
assert_MPR_matches_MPT(mpr, mpt, comments)
def test_MPR5_matches_MPT5(testdata_dir):
mpr = MPRfile(os.path.join(testdata_dir, 'bio_logic5.mpr'))
mpt, comments = MPTfile((re.sub(b'\tXXX\t', b'\t0\t', line) for line in
open(os.path.join(testdata_dir, 'bio_logic5.mpt'),
mode='rb')))
mpr = MPRfile(os.path.join(testdata_dir, "bio_logic5.mpr"))
mpt, comments = MPTfile(
(
re.sub(b"\tXXX\t", b"\t0\t", line)
for line in open(os.path.join(testdata_dir, "bio_logic5.mpt"), mode="rb")
)
)
assert_MPR_matches_MPT(mpr, mpt, comments)
def test_MPR6_matches_MPT6(testdata_dir):
mpr = MPRfile(os.path.join(testdata_dir, 'bio_logic6.mpr'))
mpt, comments = MPTfile(os.path.join(testdata_dir, 'bio_logic6.mpt'))
mpr = MPRfile(os.path.join(testdata_dir, "bio_logic6.mpr"))
mpt, comments = MPTfile(os.path.join(testdata_dir, "bio_logic6.mpt"))
mpr.data = mpr.data[:958] # .mpt file is incomplete
assert_MPR_matches_MPT(mpr, mpt, comments)

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@@ -0,0 +1,2 @@
SPDX-FileCopyrightText Chihyu Chen <chihyu.chen@molicel.com>
SPDX-License-Identifier CC-BY-4.0

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@@ -0,0 +1,2 @@
SPDX-FileCopyrightText Chihyu Chen <chihyu.chen@molicel.com>
SPDX-License-Identifier CC-BY-4.0

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@@ -1,7 +1,7 @@
# SPDX-FileCopyrightText: 2017-2021 Christopher Kerr <chris.kerr@mykolab.ch>
# SPDX-License-Identifier: GPL-3.0-or-later
[tox]
envlist = py36,py37,py38,py39
envlist = py38,py39,py310,py311
[testenv]
deps =
flake8
@@ -15,3 +15,10 @@ commands =
[flake8]
exclude = build,dist,*.egg-info,.cache,.git,.tox,__pycache__
max-line-length = 100
[gh]
python =
3.11 = py311
3.10 = py310
3.9 = py39
3.8 = py38