bruker opus reader new algorithm
* reading all data from spectrum * reading spectra we were not able to parse in past * new output data format * all spectra kinds interpolation
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README.md
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README.md
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@ -15,47 +15,22 @@ from brukeropusreader import read_file
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opus_data = read_file('opus_file.0')
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```
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`OpusData` consists of three fields `wave_nums`, `spectrum` and `meta`:
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`OpusData` is a dict consisting of all fields found in opus file:
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```
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print(f'Dimension of data: '
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f'{len(opus_data.wave_nums)}')
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print(f'Parsed fields: '
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f'{list(opus_data.keys())}')
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print(f'Spectrum range: ['
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f'{min(opus_data.spectrum)}; '
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f'{max(opus_data.spectrum)}]')
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print(f'Metadata: '
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f'{opus_data.meta}')
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print(f'Absorption spectrum: '
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f'{opus_data["AB"]}'
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```
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Spectrum can be plotted with `matplotlib` library:
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```
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plt.plot(opus_data.wave_nums, opus_data.spectrum)
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plt.show()
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```
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For full code see [example](example.py).
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## Structure of OPUS files
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OPUS files consist of several series of spectra.
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Each series is described by a few parameters:
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## Algorithm
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Algorithm taken from
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https://bitbucket.org/hirschbeutel/ono/src/default/ono/bruker_opus_filereader.py
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- NPT (number of points)
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- FXV (value of first wavelength)
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- LXV (value of last wavelength)
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- END (address of spectra series)
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These parameters are found by searching for ASCII strings in the binary files.
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After finding a match with one of these parameters, we move the pointer a few bytes further to read the values.
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Unfortunately, there is no published open standard describing how much further the pointer should be moved.
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We empirically checked that this shift factor is 8 bytes for NPT, FXV, and LXV, and 12 bytes for END.
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In addition, each file contains some metadata about the hardware used for measurement.
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## Known issues
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As Bruker's OPUS file format is not described openly, we do not know its exact structure. One problem is, given only a few series, how to decide which are absorption spectra? Our solution, empirically developed, is as follows:
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1. Remove broken series (such as ones where FXV > LXV, missing NPT information, etc.)
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2. Remove interferograms. (See [simplerspec](https://github.com/philipp-baumann/simplerspec).) Interferograms have a starting value of 0.
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3. If after these two steps we still have more than one series left, choose the one with highest average value. We empirically verified that other series are usually random noise with values near 0.
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Author: @twagner
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## Contact
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For developer issues, please start a ticket in Github.
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@ -1,7 +1,7 @@
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from .opus_parser import read_file
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from .opus_data import OpusData
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from .opus_reader import read_file
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name = 'brukeropusreader'
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name = "brukeropusreader"
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__all__ = ['OpusData', 'read_file']
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__version__ = '1.2'
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__all__ = ["read_file", "OpusData"]
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__version__ = "1.3"
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@ -0,0 +1,73 @@
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from collections import defaultdict
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from dataclasses import dataclass
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from typing import Callable, Tuple
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from brukeropusreader.block.parser import parse_series, parse_param, parse_text
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class UnknownBlockType(Exception):
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pass
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BLOCK_0 = defaultdict(
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lambda: ("Text Information", parse_text),
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{
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8: ("Info Block", parse_param),
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104: ("History", parse_text),
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152: ("Curve Fit", parse_text),
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168: ("Signature", parse_text),
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240: ("Integration Method", parse_text),
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},
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)
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BLOCK_7 = {4: "ScSm", 8: "IgSm", 12: "PhSm"}
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BLOCK_11 = {4: "ScRf", 8: "IgRf"}
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BLOCK_23 = {
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4: "ScSm Data Parameter",
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8: "IgSm Data Parameter",
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12: "PhSm Data Parameter",
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}
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BLOCK_27 = {4: "ScRf Data Parameter", 8: "IgRf Data Parameter"}
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DIFFERENT_BLOCKS = {
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31: "AB Data Parameter",
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32: "Instrument",
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40: "Instrument (Rf)",
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48: "Acquisition",
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56: "Acquisition (Rf)",
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64: "Fourier Transformation",
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72: "Fourier Transformation (Rf)",
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96: "Optik",
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104: "Optik (Rf)",
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160: "Sample",
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}
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@dataclass
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class BlockMeta:
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data_type: int
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channel_type: int
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text_type: int
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chunk_size: int
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offset: int
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def get_name_and_parser(self) -> Tuple[str, Callable]:
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if self.data_type == 0:
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return BLOCK_0[self.text_type]
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elif self.data_type == 7:
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return BLOCK_7[self.channel_type], parse_series
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elif self.data_type == 11:
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return BLOCK_11[self.channel_type], parse_series
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elif self.data_type == 15:
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return "AB", parse_series
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elif self.data_type == 23:
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return BLOCK_23[self.channel_type], parse_param
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elif self.data_type == 27:
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return BLOCK_27[self.channel_type], parse_param
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elif self.data_type in DIFFERENT_BLOCKS.keys():
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return DIFFERENT_BLOCKS[self.data_type], parse_param
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else:
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raise UnknownBlockType()
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@ -0,0 +1,54 @@
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from brukeropusreader.constants import (
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UNSIGNED_SHORT,
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PARAM_TYPES,
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INT,
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DOUBLE,
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NULL_BYTE,
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ENCODING_LATIN,
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ENCODING_UTF,
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NULL_STR)
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from brukeropusreader.opus_reader import read_chunk
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from struct import unpack, error
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import numpy as np
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def parse_param(data: bytes, block_meta):
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cursor = 0
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chunk = read_chunk(data, block_meta)
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params = {}
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while True:
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param_name = chunk[cursor : cursor + 3].decode(ENCODING_UTF)
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if param_name == "END":
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break
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type_index = unpack(UNSIGNED_SHORT, chunk[cursor + 4 : cursor + 6])[0]
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param_type = PARAM_TYPES[type_index]
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param_size = unpack(UNSIGNED_SHORT, chunk[cursor + 6 : cursor + 8])[0]
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param_bytes = chunk[cursor + 8 : cursor + 8 + 2 * param_size]
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if param_type == "int":
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try:
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param_val = unpack(INT, param_bytes)[0]
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except error:
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return params
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elif param_type == "float":
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param_val = unpack(DOUBLE, param_bytes)[0]
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elif param_type == "str":
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p_end = param_bytes.find(NULL_BYTE)
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param_val = param_bytes[:p_end].decode(ENCODING_LATIN)
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else:
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param_val = param_bytes
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params[param_name] = param_val
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cursor = cursor + 8 + 2 * param_size
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return params
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def parse_text(data: bytes, block_meta):
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chunk = read_chunk(data, block_meta)
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return chunk.decode(ENCODING_LATIN).strip(NULL_STR)
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def parse_series(data: bytes, block_meta):
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chunk = read_chunk(data, block_meta)
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fmt = f"<{block_meta.chunk_size}f"
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values = unpack(fmt, chunk)
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return np.array(values)
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@ -1,17 +0,0 @@
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from configparser import ConfigParser
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class Config(object):
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def __init__(self, wave_start=None, wave_end=None, wave_size=None):
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self.wave_start = wave_start
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self.wave_end = wave_end
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self.iwsize = wave_size
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@staticmethod
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def read_conf_from_file(path):
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config = ConfigParser()
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config.read(path)
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wave_start = float(config.get('mpa', 'start_wn'))
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wave_end = float(config.get('mpa', 'end_wn'))
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wave_size = int(config.get('mpa', 'num_wn'))
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return Config(wave_start, wave_end, wave_size)
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HEADER_LEN = 504
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UNSIGNED_INT = "<I"
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UNSIGNED_CHAR = "<B"
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UNSIGNED_SHORT = "<H"
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INT = "<i"
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DOUBLE = "<d"
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NULL_BYTE = b"\x00"
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NULL_STR = "\x00"
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FIRST_CURSOR_POSITION = 24
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META_BLOCK_SIZE = 12
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ENCODING_LATIN = "latin-1"
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ENCODING_UTF = "utf-8"
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PARAM_TYPES = {0: "int", 1: "float", 2: "str", 3: "str", 4: "str"}
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@ -2,19 +2,21 @@ import numpy as np
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from scipy.interpolate import interp1d
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class OpusData:
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def __init__(self, wave_nums, spectrum, meta=None):
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self.wave_nums = wave_nums
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self.spectrum = spectrum
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self.meta = meta
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class OpusData(dict):
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def get_range(self, spec_name="AB", wavenums=True):
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param_key = f"{spec_name} Data Parameter"
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fxv = self[param_key]["FXV"]
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lxv = self[param_key]["LXV"]
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npt = self[param_key]["NPT"]
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x_no_unit = np.linspace(fxv, lxv, npt)
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if wavenums:
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return x_no_unit
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else:
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10_000_000 / x_no_unit
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def interpolate(self, start, stop, num):
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xav, yav = self.wave_nums, self.spectrum
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iwave_nums = np.linspace(start,
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stop,
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num)
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f2 = interp1d(xav, yav,
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kind='cubic',
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assume_sorted=True,
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fill_value='extrapolate')
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def interpolate(self, start, stop, num, spec_name="AB"):
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xav = self.get_range(spec_name=spec_name)
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yav = self[spec_name]
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iwave_nums = np.linspace(start, stop, num)
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f2 = interp1d(xav, yav, kind="cubic", fill_value="extrapolate")
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return iwave_nums, f2(iwave_nums)
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@ -0,0 +1,65 @@
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from typing import List
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from brukeropusreader.block.data import BlockMeta, UnknownBlockType
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from brukeropusreader.constants import (
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HEADER_LEN,
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FIRST_CURSOR_POSITION,
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META_BLOCK_SIZE,
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)
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from brukeropusreader.opus_data import OpusData
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from brukeropusreader.opus_reader import (
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read_data_type,
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read_channel_type,
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read_text_type,
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read_chunk_size,
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read_offset,
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)
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def read_file(file_path: str) -> OpusData:
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with open(file_path, "rb") as opus_file:
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data = opus_file.read()
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meta_data = parse_meta(data)
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opus_data = parse_data(data, meta_data)
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return opus_data
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def parse_meta(data: bytes) -> List[BlockMeta]:
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header = data[:HEADER_LEN]
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spectra_meta = []
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cursor = FIRST_CURSOR_POSITION
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while True:
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if cursor + META_BLOCK_SIZE > HEADER_LEN:
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break
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data_type = read_data_type(header, cursor)
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channel_type = read_channel_type(header, cursor)
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text_type = read_text_type(header, cursor)
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chunk_size = read_chunk_size(header, cursor)
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offset = read_offset(header, cursor)
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if offset <= 0:
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break
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block_meta = BlockMeta(data_type, channel_type,
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text_type, chunk_size, offset)
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spectra_meta.append(block_meta)
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next_offset = offset + 4 * chunk_size
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if next_offset >= len(data):
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break
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cursor += META_BLOCK_SIZE
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return spectra_meta
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def parse_data(data: bytes, blocks_meta: List[BlockMeta]) -> OpusData:
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opus_data = OpusData()
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for block_meta in blocks_meta:
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try:
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name, parser = block_meta.get_name_and_parser()
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except UnknownBlockType:
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continue
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parsed_data = parser(data, block_meta)
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opus_data[name] = parsed_data
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return opus_data
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@ -1,155 +1,39 @@
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import numpy as np
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from struct import unpack_from
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from .utils import find_all
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from .opus_data import OpusData
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from itertools import product
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from struct import unpack
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from brukeropusreader.constants import UNSIGNED_INT, UNSIGNED_CHAR
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class NoAbsorbanceSpectra(Exception):
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pass
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def read_data_type(header: bytes, cursor: int) -> int:
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p1 = cursor
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p2 = cursor + 1
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return unpack(UNSIGNED_CHAR, header[p1:p2])[0]
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def read_file(filepath):
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with open(filepath, 'rb') as f:
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buff = f.read()
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# Reading all waves and spectra
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fxv_spc, spc, wavenumbers = read_all_spectra(buff)
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# Choose best ab spectra
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ab_spectra, ab_wavenumbers = choose_ab(fxv_spc, spc, wavenumbers)
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wave_num_abs_pair = reversed(list(zip(ab_wavenumbers, ab_spectra)))
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meta = get_metadata(buff)
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wave_nums, spectrum = list(zip(*wave_num_abs_pair))
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return OpusData(wave_nums, spectrum, meta=meta)
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def read_channel_type(header: bytes, cursor: int) -> int:
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p1 = cursor + 1
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p2 = cursor + 2
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return unpack(UNSIGNED_CHAR, header[p1:p2])[0]
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def choose_ab(fxv_spc, spc, wavenumbers):
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# Removing interferograms
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which_ig = np.where(fxv_spc == 0)[0]
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not_ig = np.setdiff1d(range(len(fxv_spc)), which_ig)
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# Removing single channel spectra
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# (heuristics are empirically derived)
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ab = []
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for x in not_ig:
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if np.average(spc[x]) > 0.25:
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ab.append(x)
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if len(ab) > 1:
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spc_avg = [np.average(spc[x]) for x in ab]
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max_avg_index = spc_avg.index(max(spc_avg))
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ab_p = ab[max_avg_index]
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elif len(ab) == 1:
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ab_p = ab[0]
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else:
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raise NoAbsorbanceSpectra()
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ab_spectra = spc[ab_p]
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ab_wavenumbers = wavenumbers[ab[0]]
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return ab_spectra, ab_wavenumbers
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def read_text_type(header: bytes, cursor: int) -> int:
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p1 = cursor + 2
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p2 = cursor + 3
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return unpack(UNSIGNED_CHAR, header[p1:p2])[0]
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def keyword_positions(buff):
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end = np.array(list(find_all(b'END', buff))) + 12
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npt_all = np.array(list(find_all(b'NPT', buff))) + 8
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fxv_all = np.array(list(find_all(b'FXV', buff))) + 8
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lxv_all = np.array(list(find_all(b'LXV', buff))) + 8
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return end, npt_all, fxv_all, lxv_all
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def read_chunk_size(header: bytes, cursor: int) -> int:
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p1 = cursor + 4
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p2 = cursor + 8
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return unpack(UNSIGNED_INT, header[p1:p2])[0]
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def filter_unpaired(fxv_all, lxv_all):
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if len(fxv_all) != len(lxv_all):
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prod = product(fxv_all, lxv_all)
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corr_adr = list(zip(*filter(lambda d: (d[1] - d[0]) == 16, prod)))
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fxv_all = np.array(corr_adr[0])
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lxv_all = np.array(corr_adr[1])
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return fxv_all, lxv_all
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def read_offset(header: bytes, cursor: int) -> int:
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p1 = cursor + 8
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p2 = cursor + 12
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return unpack(UNSIGNED_INT, header[p1:p2])[0]
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def read_all_spectra(buff):
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end, npt_all, fxv_all, lxv_all = keyword_positions(buff)
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fxv_all, lxv_all = filter_unpaired(fxv_all, lxv_all)
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# Number of wavepoints
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npt = [unpack_from('<i', buff, adr)[0] for adr in npt_all]
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# 'end_spc is vector of offsets where spectra start'
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end_spc = end[np.where(np.diff(end) > 4 * min(npt))]
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spc_param_list = {'npt': npt_all, 'fxv': fxv_all, 'lxv': lxv_all}
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# Filtering some corrupted series
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param_spc = filter_spc_params(end_spc, spc_param_list, npt_all)
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# Number of points in correct spectra
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npt_spc = [unpack_from('<i', buff, adr)[0] for adr in param_spc['npt']]
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npt_spc = np.array(npt_spc)
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mask = npt_spc > 0
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for key in param_spc.keys():
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param_spc[key] = param_spc[key][mask]
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npt_spc = npt_spc[mask]
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||||
|
||||
def read_spec(x):
|
||||
return np.array(unpack_from('<' + str(x[1]) + 'f', buff, x[0] - 4))
|
||||
|
||||
def read_waves(x):
|
||||
return unpack_from('<2d', buff, x)[0]
|
||||
|
||||
spc = list(map(read_spec, zip(param_spc['end'], npt_spc)))
|
||||
fxv_spc = np.array([read_waves(x) for x in param_spc['fxv']])
|
||||
lxv_spc = [unpack_from('<2d', buff, x)[0] for x in param_spc['lxv']]
|
||||
wavenumbers = generate_wavelengths(lxv_spc, fxv_spc, npt_spc)
|
||||
|
||||
return fxv_spc, spc, wavenumbers
|
||||
|
||||
|
||||
def generate_wavelengths(lxv_spc, fxv_spc, npt_spc):
|
||||
wavenumbers = []
|
||||
for lx, fx, npt1 in zip(lxv_spc, fxv_spc, npt_spc):
|
||||
ratio = (fx - lx) / (npt1 - 1)
|
||||
arr = np.flipud(np.arange(lx, fx + ratio, ratio))
|
||||
wavenumbers.append(arr)
|
||||
return wavenumbers
|
||||
|
||||
|
||||
def find_key(buff, key):
|
||||
hit = buff.find(key) + 8
|
||||
value = unpack_from('2000s', buff, hit)[0]
|
||||
value = value[:value.find(b'\x00')]
|
||||
return value
|
||||
|
||||
|
||||
def get_metadata(buff):
|
||||
meta = {}
|
||||
all_keys = ['INS', 'SRC', 'DAT', 'SNM', 'TIM', 'SFM']
|
||||
for k in all_keys:
|
||||
keystr = k
|
||||
value = find_key(buff, keystr.encode('utf-8'))
|
||||
meta[k] = value
|
||||
return meta
|
||||
|
||||
|
||||
def filter_spc_params(end_spc, spc_param_list, npt_all):
|
||||
def indexes_of_valid_series(arr):
|
||||
return list(arr).index(min(filter(lambda x: x > 0, arr)))
|
||||
new_end = []
|
||||
new_fxv = []
|
||||
new_lxv = []
|
||||
fxv_spc = spc_param_list['fxv']
|
||||
lxv_spc = spc_param_list['lxv']
|
||||
for npy in npt_all:
|
||||
end_diff = npy - end_spc
|
||||
lxv_diff = lxv_spc - npy
|
||||
fxv_diff = fxv_spc - npy
|
||||
lxv_tmp = indexes_of_valid_series(lxv_diff)
|
||||
fxv_tmp = indexes_of_valid_series(fxv_diff)
|
||||
end_tmp = indexes_of_valid_series(end_diff)
|
||||
new_end.append(end_spc[end_tmp])
|
||||
new_fxv.append(fxv_spc[fxv_tmp])
|
||||
new_lxv.append(lxv_spc[lxv_tmp])
|
||||
spc_param_list['end'] = np.array(new_end)
|
||||
spc_param_list['lxv'] = np.array(new_lxv)
|
||||
spc_param_list['fxv'] = np.array(new_fxv)
|
||||
|
||||
return spc_param_list
|
||||
def read_chunk(data: bytes, block_meta):
|
||||
p1 = block_meta.offset
|
||||
p2 = p1 + 4 * block_meta.chunk_size
|
||||
return data[p1:p2]
|
||||
|
|
|
|||
|
|
@ -1,9 +0,0 @@
|
|||
# function to find all occurrences of substring in string
|
||||
def find_all(sub, a_str):
|
||||
start = 0
|
||||
while True:
|
||||
start = a_str.find(sub, start)
|
||||
if start == -1:
|
||||
return
|
||||
yield start
|
||||
start += len(sub) # use start += 1 to find overlapping matches
|
||||
40
example.py
40
example.py
|
|
@ -1,34 +1,36 @@
|
|||
from brukeropusreader import read_file
|
||||
|
||||
import sys
|
||||
import argparse
|
||||
import matplotlib.pyplot as plt
|
||||
import sys
|
||||
|
||||
from brukeropusreader import read_file
|
||||
|
||||
|
||||
def main(path_to_file):
|
||||
print(f'Reading opus file from path'
|
||||
f'{path_to_file}')
|
||||
print(f"Reading opus file from path" f"{path_to_file}")
|
||||
opus_data = read_file(path_to_file)
|
||||
|
||||
print(f'Dimension of data: '
|
||||
f'{len(opus_data.wave_nums)}')
|
||||
print(f"Data fields: " f"{list(opus_data.keys())}")
|
||||
|
||||
print(f'Spectrum range: ['
|
||||
f'{min(opus_data.spectrum)}; '
|
||||
f'{max(opus_data.spectrum)}]')
|
||||
ab_x = opus_data.get_range("AB")
|
||||
print(f"Absorption spectrum range: " f"{ab_x[0]} {ab_x[-1]}")
|
||||
print(f"Absorption elements num: " f'{len(opus_data["AB"])}')
|
||||
|
||||
print(f'Metadata: '
|
||||
f'{opus_data.meta}')
|
||||
try:
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
plt.plot(opus_data.wave_nums, opus_data.spectrum)
|
||||
plt.title(f'Spectrum {path_to_file}')
|
||||
print("Plotting AB")
|
||||
plt.plot(opus_data.get_range("AB"), opus_data["AB"])
|
||||
plt.show()
|
||||
|
||||
print("Plotting interpolated AB")
|
||||
plt.plot(*opus_data.interpolate(ab_x[0], ab_x[-1], 100))
|
||||
plt.show()
|
||||
|
||||
if __name__ == '__main__':
|
||||
except ImportError:
|
||||
print(f"Install matplotlib to plot spectra")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument("opus_path",
|
||||
help="Path to opus file",
|
||||
action="store")
|
||||
parser.add_argument("opus_path", help="Path to opus file", action="store")
|
||||
args = parser.parse_args()
|
||||
main(sys.argv[1])
|
||||
|
|
|
|||
|
|
@ -1,3 +1,3 @@
|
|||
numpy
|
||||
scipy
|
||||
matplotlib
|
||||
|
||||
|
|
|
|||
|
|
@ -2,13 +2,7 @@
|
|||
# This file is autogenerated by pip-compile
|
||||
# To update, run:
|
||||
#
|
||||
# pip-compile --output-file requirements.txt requirements.in
|
||||
# pip-compile --output-file=requirements.txt requirements.in
|
||||
#
|
||||
cycler==0.10.0 # via matplotlib
|
||||
kiwisolver==1.0.1 # via matplotlib
|
||||
matplotlib==3.0.2
|
||||
numpy==1.16.1
|
||||
pyparsing==2.3.1 # via matplotlib
|
||||
python-dateutil==2.8.0 # via matplotlib
|
||||
scipy==1.2.1
|
||||
six==1.12.0 # via cycler, python-dateutil
|
||||
|
|
|
|||
19
setup.py
19
setup.py
|
|
@ -1,14 +1,15 @@
|
|||
from distutils.core import setup
|
||||
|
||||
|
||||
setup(name='brukeropusreader',
|
||||
version='1.2.1',
|
||||
description='Bruker OPUS File Reader',
|
||||
author='QED',
|
||||
author_email='brukeropusreader-dev@qed.ai',
|
||||
packages=['brukeropusreader'],
|
||||
setup(
|
||||
name="brukeropusreader",
|
||||
version="1.3.0",
|
||||
description="Bruker OPUS File Reader",
|
||||
author="QED",
|
||||
author_email="brukeropusreader-dev@qed.ai",
|
||||
packages=["brukeropusreader"],
|
||||
python_requires=">=3",
|
||||
install_requires=['numpy>=1.13.3', 'scipy>=0.19.1', 'matplotlib>=3.0.2'],
|
||||
install_requires=["numpy>=1.13.3", "scipy>=0.19.1"],
|
||||
license="GPLv3",
|
||||
url="https://github.com/qedsoftware/brukeropusreader"
|
||||
)
|
||||
url="https://github.com/qedsoftware/brukeropusreader",
|
||||
)
|
||||
|
|
|
|||
|
|
@ -1,18 +0,0 @@
|
|||
import unittest
|
||||
from brukeropusreader.utils import find_all
|
||||
|
||||
|
||||
class MyTestCase(unittest.TestCase):
|
||||
|
||||
def test_find_existing(self):
|
||||
self.assertEqual(list(find_all('test', 'somelongtestwie')), [8])
|
||||
|
||||
def test_not_existing(self):
|
||||
self.assertEqual(list(find_all('test', 'nothinghere')), [])
|
||||
|
||||
def test_three(self):
|
||||
self.assertEqual(list(find_all('txt', 'txtxttxtastxt')), [0, 5, 10])
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
unittest.main()
|
||||
Loading…
Reference in New Issue