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Copy pathdataStruct.py
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executable file
·2398 lines (2127 loc) · 89.4 KB
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import sys
import os
from typing import Literal
import shutil
import re
import traceback
import time
import datetime
import tempfile
import h5py
import uuid
import difflib
import pathlib
import numpy as np
import pandas as pd
from collections import Counter
from tqdm import tqdm
from natsort import natsorted
from pprint import pprint
from functools import wraps, partial
from itertools import permutations
from qtpy.QtWidgets import (
QApplication, QMainWindow, QFileDialog,
QVBoxLayout, QPushButton, QLabel, QStyleFactory,
QWidget, QMessageBox, QPlainTextEdit, QHBoxLayout
)
from qtpy.QtCore import (
Qt, QObject, Signal, QThread, QMutex, QWaitCondition,
QEventLoop
)
from qtpy import QtGui
# Here we use from cellacdc because this script is laucnhed in
# a separate process that doesn't have a parent package
from . import issues_url
from . import exception_handler
from . import apps, myutils, widgets, html_utils, printl
from . import load, settings_csv_path
from . import _palettes
from . import recentPaths_path, cellacdc_path, settings_folderpath
from . import urls
from . import acdc_fiji_path
from . import fiji_macros
from . import acdc_regex
from . import io
if os.name == 'nt':
try:
# Set taskbar icon in windows
import ctypes
myappid = 'schmollerlab.cellacdc.pyqt.v1' # arbitrary string
ctypes.windll.shell32.SetCurrentProcessExplicitAppUserModelID(myappid)
except:
pass
def worker_exception_handler(func):
@wraps(func)
def run(self):
try:
result = func(self)
except Exception as error:
result = None
self.critical.emit(error)
return result
return run
class bioFormatsWorker(QObject):
finished = Signal()
progress = Signal(str)
progressPbar = Signal(int)
initPbar = Signal(int)
criticalError = Signal(str, str, str)
confirmMetadata = Signal(
str, float, int, int, int, int,
float, str, float, float, float,
str, list, list, str, str, object
)
critical = Signal(object)
sigFinishedReadingSampleImageData = Signal(object)
def __init__(
self, raw_src_path, rawFilenames, exp_dst_path,
mutex, waitCond, rawDataStruct,
bioformats_backend: Literal['bioio', 'python-bioformats'],
lazy_load=True, move_raw_microscopy_files=True,
overwrite=False, add_files=False, create_new=False,
start_pos_n=1
):
QObject.__init__(self)
self.raw_src_path = raw_src_path
self.exp_dst_path = exp_dst_path
self.rawFilenames = rawFilenames
self.mutex = mutex
self.waitCond = waitCond
self.askReplacePosFiles = True
self.overWriteMetadata = False
self.trustMetadataReader = False
self.rawDataStruct = rawDataStruct
self.overwritePos = overwrite
self.addFiles = add_files
self.createNew = create_new
self.cancel = False
self.start_pos_n = start_pos_n
self.bioformats_backend = bioformats_backend
self.lazy_load = lazy_load
self.move_raw_microscopy_files = move_raw_microscopy_files
def _readSampleDataPythonBioformats(
self, bioformats, rawFilePath, sampleImgData, SizeC, SizeT, SizeZ,
sampleSizeT, sampleSizeZ
):
dimsIdx = {}
allChannelsData = None
with bioformats.ImageReader(rawFilePath) as reader:
permut_pbar = tqdm(total=6, ncols=100)
for dimsOrd in permutations('zct', 3):
if allChannelsData is not None and self.bioformats_backend == 'bioio':
sampleImgData[''.join(dimsOrd)] = allChannelsData
permut_pbar.update(1)
continue
allChannelsData = []
idxs = self.buildIndexes(SizeC, SizeT, SizeZ, dimsOrd)
numIter = SizeC*sampleSizeT*sampleSizeZ
pbar = tqdm(total=numIter, ncols=100, leave=False)
skipPermutation = False
for c in range(SizeC):
dimsIdx['c'] = c
imgData_tz = []
for t in range(sampleSizeT):
dimsIdx['t'] = t
imgData_z = []
for z in range(sampleSizeZ):
dimsIdx['z'] = z
try:
idx = self.getIndex(idxs, dimsIdx, dimsOrd)
imgData = reader.read(
c=c, z=z, t=t, rescale=False, index=idx
)
except Exception as e:
skipPermutation = True
break
imgData_z.append(imgData)
pbar.update()
if skipPermutation:
break
imgData_z = np.array(imgData_z, dtype=imgData.dtype)
imgData_z = np.squeeze(imgData_z)
imgData_tz.append(imgData_z)
if not skipPermutation:
imgData_tz = np.array(imgData_tz, dtype=imgData.dtype)
imgData_tz = np.squeeze(imgData_tz)
allChannelsData.append(imgData_tz)
pbar.close()
permut_pbar.update(1)
if not skipPermutation:
sampleImgData[''.join(dimsOrd)] = allChannelsData
permut_pbar.close()
return sampleImgData
def readSampleData(self, rawFilePath, SizeC, SizeT, SizeZ):
if self.bioformats_backend == 'bioio':
from cellacdc import acdc_bioio_bioformats as bioformats
else:
import javabridge
from cellacdc import bioformats
sampleImgData = {}
self.progress.emit('Reading sample image data...')
if self.bioformats_backend == 'bioio':
# To avoid running Java in the main process, we spawn a new
# process that runs a python script to read sample data, save
# it to disk, and then load it back here.
import subprocess
from . import _process, bioio_sample_data_folderpath
read_sample_data_py_filepath = os.path.join(
os.path.dirname(bioformats.__file__), '_read_sample_data.py'
)
uuid4 = uuid.uuid4()
command = (
f'{sys.executable}, '
f'{read_sample_data_py_filepath}, '
f'-f, {rawFilePath}, '
f'-c, {SizeC}, '
f'-t, {SizeT}, '
f'-z, {SizeZ},'
f'-uuid, {uuid4}'
)
if not self.lazy_load:
command = f'{command}, -a'
args = [sys.executable, _process.__file__, '-c', command]
subprocess.run(args)
bioformats._utils.check_raise_exception(uuid4)
allChannelsData = []
for c in range(SizeC):
filepath = os.path.join(
bioio_sample_data_folderpath, f"sample_channel_{c}.npy"
)
channel_data = np.load(filepath)
allChannelsData.append(channel_data)
os.remove(filepath)
for dimsOrd in permutations('zct', 3):
sampleImgData[''.join(dimsOrd)] = allChannelsData
else:
if SizeT >= 4:
sampleSizeT = 4
else:
sampleSizeT = SizeT
if SizeZ > 20:
sampleSizeZ = 20
else:
sampleSizeZ = SizeZ
sampleImgData = self._readSampleDataPythonBioformats(
bioformats, rawFilePath, sampleImgData, SizeC, SizeT, SizeZ,
sampleSizeT, sampleSizeZ
)
self.sigFinishedReadingSampleImageData.emit(sampleImgData)
return sampleImgData
def getSizeZ(self, rawFilePath):
if self.bioformats_backend == 'bioio':
from cellacdc import acdc_bioio_bioformats as bioformats
else:
import javabridge
from cellacdc import bioformats
try:
if rawFilePath.endswith('.ome.tif'):
metadata = load.OMEXML(rawFilePath)
metadataXML = metadata.omexml_string
else:
metadata, metadataXML = self._readMetadataBioIO(rawFilePath)
SizeZ = int(metadata.image().Pixels.SizeZ)
return SizeZ
except Exception as e:
return self.SizeZ
def _readMetadataBioIO(self, rawFilePath):
from . import bioio_sample_data_folderpath, _process
from . import acdc_bioio_bioformats as bioformats
import subprocess
read_metadata_py_filepath = os.path.join(
os.path.dirname(bioformats.__file__), '_read_metadata.py'
)
uuid4 = uuid.uuid4()
command = (
f'{sys.executable}, {read_metadata_py_filepath}, '
f'-f, {rawFilePath}, '
f'-uuid, {uuid4}'
)
args = [sys.executable, _process.__file__, '-c', command]
subprocess.run(args)
bioformats._utils.check_raise_exception(uuid4)
metadataXML_filepath = os.path.join(
bioio_sample_data_folderpath, 'metadataXML.txt'
)
metadataXML = bioformats.Metadata().init_from_file(metadataXML_filepath)
metadata_filepath = os.path.join(
bioio_sample_data_folderpath, 'metadata.txt'
)
metadata = bioformats.OMEXML().init_from_file(
metadata_filepath, rawFilePath
)
return metadata, metadataXML
def readMetadata(self, raw_src_path, filename):
if self.bioformats_backend == 'bioio':
from cellacdc import acdc_bioio_bioformats as bioformats
else:
import javabridge
from cellacdc import bioformat
rawFilePath = os.path.join(raw_src_path, filename)
self.progress.emit('Reading OME metadata...')
try:
if rawFilePath.endswith('.ome.tif'):
metadata = load.OMEXML(rawFilePath)
metadataXML = metadata.omexml_string
else:
metadata, metadataXML = self._readMetadataBioIO(rawFilePath)
self.metadata = metadata
self.metadataXML = metadataXML
except Exception as e:
traceback.print_exc()
self.isCriticalError = True
self.criticalError.emit(
'reading image data or metadata',
traceback.format_exc(), filename
)
return True
try:
LensNA = float(metadata.instrument().Objective.LensNA)
except Exception as e:
self.progress.emit(
'===================================================')
self.progress.emit(rawFilePath)
self.progress.emit('WARNING: LensNA not found in metadata.')
self.progress.emit(
'===================================================')
LensNA = 1.4
if self.rawDataStruct != 2:
try:
SizeS = int(metadata.get_image_count())
except Exception as e:
self.progress.emit(
'===================================================')
self.progress.emit(rawFilePath)
self.progress.emit('WARNING: SizeS not found in metadata.')
self.progress.emit(
'===================================================')
SizeS = 1
else:
SizeS = self.SizeS
try:
SizeZ = int(metadata.image().Pixels.SizeZ)
except Exception as e:
self.progress.emit(
'===================================================')
self.progress.emit(rawFilePath)
self.progress.emit('WARNING: SizeZ not found in metadata.')
self.progress.emit(
'===================================================')
SizeZ = 1
try:
SizeT = int(metadata.image().Pixels.SizeT)
except Exception as e:
self.progress.emit(
'===================================================')
self.progress.emit(rawFilePath)
self.progress.emit('WARNING: SizeT not found in metadata.')
self.progress.emit(
'===================================================')
SizeT = 1
try:
Pixels = metadata.image().Pixels
TimeIncrement = float(Pixels.node.get('TimeIncrement'))
except Exception as e:
self.progress.emit(
'===================================================')
self.progress.emit(rawFilePath)
self.progress.emit('WARNING: TimeIncrement not found in metadata.')
self.progress.emit(
'===================================================')
TimeIncrement = 1.0
try:
Pixels = metadata.image().Pixels
TimeIncrementUnit = Pixels.node.get('TimeIncrementUnit')
if TimeIncrementUnit is None:
raise
except Exception as e:
self.progress.emit(
'===================================================')
self.progress.emit(rawFilePath)
self.progress.emit('WARNING: TimeIncrementUnit not found in metadata.')
self.progress.emit(
'===================================================')
TimeIncrementUnit = 's'
try:
SizeC = int(metadata.image().Pixels.SizeC)
except Exception as e:
self.progress.emit(
'===================================================')
self.progress.emit(rawFilePath)
self.progress.emit('WARNING: SizeC not found in metadata.')
self.progress.emit(
'===================================================')
SizeC = 1
try:
PhysicalSizeX = float(metadata.image().Pixels.PhysicalSizeX)
except Exception as e:
self.progress.emit(
'===================================================')
self.progress.emit(rawFilePath)
self.progress.emit('WARNING: PhysicalSizeX not found in metadata.')
self.progress.emit(
'===================================================')
PhysicalSizeX = 1.0
try:
PhysicalSizeY = float(metadata.image().Pixels.PhysicalSizeY)
except Exception as e:
self.progress.emit(
'===================================================')
self.progress.emit(rawFilePath)
self.progress.emit('WARNING: PhysicalSizeY not found in metadata.')
self.progress.emit(
'===================================================')
PhysicalSizeY = 1.0
try:
PhysicalSizeZ = float(metadata.image().Pixels.PhysicalSizeZ)
except Exception as e:
self.progress.emit(
'===================================================')
self.progress.emit(rawFilePath)
self.progress.emit('WARNING: PhysicalSizeZ not found in metadata.')
self.progress.emit(
'===================================================')
PhysicalSizeZ = 1.0
try:
Pixels = metadata.image().Pixels
PhysicalSizeUnit = Pixels.node.get('PhysicalSizeXUnit')
if PhysicalSizeUnit is None:
raise
except Exception as e:
self.progress.emit(
'===================================================')
self.progress.emit(rawFilePath)
self.progress.emit('WARNING: PhysicalSizeUnit not found in metadata.')
self.progress.emit(
'===================================================')
PhysicalSizeUnit = 'μm'
try:
ImageName = metadata.image().Name
if ImageName is None:
raise
except Exception as e:
self.progress.emit(
'===================================================')
self.progress.emit(rawFilePath)
self.progress.emit('WARNING: Image Name not found in metadata.')
self.progress.emit(
'===================================================')
ImageName = ''
if self.rawDataStruct != 2:
try:
chNames = ['']*SizeC
for c in range(SizeC):
try:
chNames[c] = metadata.image().Pixels.Channel(c).Name
except Exception as e:
pass
except Exception as e:
self.progress.emit(
'===================================================')
self.progress.emit(rawFilePath)
self.progress.emit('WARNING: chNames not found in metadata.')
self.progress.emit(
'===================================================')
chNames = ['']*SizeC
else:
chNames = self.chNames
SizeC = len(self.chNames)
if self.rawDataStruct != 2:
try:
emWavelens = [500.0]*SizeC
for c in range(SizeC):
try:
Channel = metadata.image().Pixels.Channel(c)
emWavelen = Channel.node.get("EmissionWavelength")
emWavelens[c] = float(emWavelen)
except Exception as e:
emWavelens[c] = 0.0
except Exception as e:
traceback.print_exc()
self.progress.emit(
'===================================================')
self.progress.emit(rawFilePath)
self.progress.emit('WARNING: EmissionWavelength not found in metadata.')
self.progress.emit(
'===================================================')
emWavelens = [500.0]*SizeC
else:
emWavelens = [500.0]*SizeC
if self.trustMetadataReader:
self.LensNA = LensNA
self.SizeT = SizeT
self.SizeZ = SizeZ
self.SizeC = SizeC
self.SizeS = SizeS
self.TimeIncrement = TimeIncrement
self.PhysicalSizeX = PhysicalSizeX
self.PhysicalSizeY = PhysicalSizeY
self.PhysicalSizeZ = PhysicalSizeZ
# self.chNames = chNames
self.emWavelens = emWavelens
return False
sampleImgData = None
while True:
self.mutex.lock()
if self.rawDataStruct != 2:
sampleImgData = self.readSampleData(
rawFilePath, SizeC, SizeT, SizeZ
)
self.confirmMetadata.emit(
filename, LensNA, SizeT, SizeZ, SizeC, SizeS,
TimeIncrement, TimeIncrementUnit, PhysicalSizeX, PhysicalSizeY,
PhysicalSizeZ, PhysicalSizeUnit, chNames, emWavelens, ImageName,
rawFilePath, sampleImgData
)
self.waitCond.wait(self.mutex)
self.mutex.unlock()
if self.metadataWin.cancel:
return True
if not self.metadataWin.requestedReadingSampleImageDataAgain:
break
LensNA = self.metadataWin.LensNA
SizeT = self.metadataWin.SizeT
SizeZ = self.metadataWin.SizeZ
SizeC = self.metadataWin.SizeC
SizeS = self.metadataWin.SizeS
TimeIncrement = self.metadataWin.TimeIncrement
PhysicalSizeX = self.metadataWin.PhysicalSizeX
PhysicalSizeY = self.metadataWin.PhysicalSizeY
PhysicalSizeZ = self.metadataWin.PhysicalSizeZ
chNames = self.metadataWin.chNames
emWavelens = self.metadataWin.emWavelens
if self.metadataWin.cancel:
return True
elif self.metadataWin.overWrite:
self.overWriteMetadata = True
elif self.metadataWin.trust:
self.trustMetadataReader = True
self.to_h5 = self.metadataWin.to_h5
self.LensNA = self.metadataWin.LensNA
self.SizeT = self.metadataWin.SizeT
self.SizeZ = self.metadataWin.SizeZ
self.SizeC = self.metadataWin.SizeC
self.SizeS = self.metadataWin.SizeS
self.TimeIncrement = self.metadataWin.TimeIncrement
self.PhysicalSizeX = self.metadataWin.PhysicalSizeX
self.PhysicalSizeY = self.metadataWin.PhysicalSizeY
self.PhysicalSizeZ = self.metadataWin.PhysicalSizeZ
self.selectedPos = self.metadataWin.selectedPos
self.chNames = self.metadataWin.chNames
self.timeRangeToSave = self.metadataWin.timeRangeToSave
self.saveChannels = self.metadataWin.saveChannels
self.emWavelens = self.metadataWin.emWavelens
self.addImageName = self.metadataWin.addImageName
return False
def saveToPosFolder(
self, p, raw_src_path, exp_dst_path, filename, series, pos_n,
p_idx=0,
):
rawFilePath = os.path.join(raw_src_path, filename)
if os.path.basename(raw_src_path) == 'raw_microscopy_files':
raw_src_path = os.path.dirname(raw_src_path)
in_file_pos_name = f'Position_{p+1}'
savePos = (
'All Positions' in self.selectedPos
or in_file_pos_name in self.selectedPos
)
if not savePos:
return False
pos_path = os.path.join(exp_dst_path, f'Position_{pos_n}')
images_path = os.path.join(pos_path, 'Images')
if os.path.exists(images_path) and self.overwritePos:
shutil.rmtree(images_path)
if os.path.exists(images_path) and self.createNew:
images_path = re.sub(
r'Position_\d+', f'Position_{pos_n}', images_path
)
if not os.path.exists(images_path):
os.makedirs(images_path, exist_ok=True)
self.saveData(
images_path, rawFilePath, filename, p, series, pos_n, p_idx=p_idx,
)
return False
def _saveDataPythonBioformats(
self, bioformats, rawFilePath, series, images_path, filenameNOext,
s0p, idxs
):
SizeZ = self.getSizeZ(rawFilePath)
with bioformats.ImageReader(rawFilePath) as reader:
iter = enumerate(zip(self.chNames, self.saveChannels))
for c, (chName, saveCh) in iter:
self.progressPbar.emit(1)
if not saveCh:
continue
self.progress.emit(
f' Saving channel {c+1}/{len(self.chNames)} ({chName})'
)
self.saveImgDataChannel(
reader, series, images_path, filenameNOext, s0p,
chName, c, idxs, SizeZ
)
def _saveDataPythonBioformatsSingleChannel(
self, bioformats, rawFilePath, series, images_path, filenameNOext,
s0p, idxs, chName, c_idx
):
SizeZ = self.getSizeZ(rawFilePath)
with bioformats.ImageReader(rawFilePath) as reader:
self.progress.emit(
f' Saving channel {c_idx+1}/{len(self.chNames)} ({chName})'
)
imgData_ch = []
self.saveImgDataChannel(
reader, series, images_path, filenameNOext, s0p,
chName, 0, idxs, SizeZ
)
def removeInvalidCharacters(self, chName_in):
# Remove invalid charachters
chName = "".join(
c if c.isalnum() or c=='_' or c=='' else '_' for c in chName_in
)
trim_ = chName.endswith('_')
while trim_:
chName = chName[:-1]
trim_ = chName.endswith('_')
def getFilename(
self, filenameNOext, s0p, appendTxt, series, ext,
return_basename=False
):
# Do not allow dots in the filename since it breaks stuff here and there
filenameNOext = filenameNOext.replace('.', '_')
if self.addImageName:
try:
ImageName = self.metadata.image(index=series).Name
if not isinstance(ImageName, str):
raise
except Exception as e:
ImageName = ''
self.removeInvalidCharacters(ImageName)
basename = f'{filenameNOext}_{ImageName}_s{s0p}_'
filename = f'{basename}{appendTxt}{ext}'
else:
basename = f'{filenameNOext}_s{s0p}_'
filename = f'{basename}{appendTxt}{ext}'
if return_basename:
return filename, basename
else:
return filename
def buildIndexes(self, SizeC, SizeT, SizeZ):
SizesCTZ = {'c': SizeC, 't': SizeT, 'z': SizeZ}
idxs = {}
k_key, i_key, j_key = 'ztc'
idx = 0
for k in range(SizesCTZ[k_key]):
for i in range(SizesCTZ[i_key]):
for j in range(SizesCTZ[j_key]):
idxs[(k,i,j)] = idx
idx += 1
return idxs
def getIndex(self, idxs, dimsIdx):
dims = tuple([dimsIdx.get(v, 0) for v in 'ztc'])
return idxs[dims]
def saveImgDataChannel(
self, reader, series, images_path, filenameNOext, s0p, chName,
ch_idx, idxs, SizeZ
):
savedSizeT = self.timeRangeToSave[1] - self.timeRangeToSave[0] + 1
if self.to_h5:
filename = self.getFilename(
filenameNOext, s0p, chName, series, '.h5'
)
tempDir = tempfile.mkdtemp()
tempFilepath = os.path.join(tempDir, filename)
print('==========================================================')
print(f'.h5 tempfile: "{tempFilepath}"')
print('==========================================================')
h5f = h5py.File(tempFilepath, 'w')
# Read SizeX and SizeY from the shape of one image
imgData = reader.read(
c=ch_idx, z=0, t=0, series=series, rescale=False
)
shape = (savedSizeT, SizeZ, *imgData.shape)
chunks = (1,1,*imgData.shape)
imgData_ch = h5f.create_dataset(
'data', shape, dtype=imgData.dtype,
chunks=chunks, shuffle=False
)
else:
filename = self.getFilename(
filenameNOext, s0p, chName, series, '.tif'
)
imgData_ch = []
framesRange = range(
self.timeRangeToSave[0]-1,
self.timeRangeToSave[1]
)
filePath = os.path.join(images_path, filename)
dimsIdx = {'c': ch_idx}
numFrames = len(framesRange)
num_imgs = numFrames*SizeZ
pbar = tqdm(
total=num_imgs,
ncols=100,
desc=f'Reading image (z 0/{SizeZ}, t 0/{numFrames})'
)
for out_t, t in enumerate(framesRange):
imgData_z = []
dimsIdx['t'] = t
for z in range(SizeZ):
pbar.set_description(
f'Reading image (z {z+1}/{SizeZ}, t {out_t+1}/{numFrames})'
)
dimsIdx['z'] = z
if self.rawDataStruct != 2:
idx = self.getIndex(idxs, dimsIdx)
else:
idx = None
imgData = reader.read(
c=ch_idx, z=z, t=t, series=series, rescale=False,
index=idx
)
if self.to_h5:
imgData_ch[out_t, z] = imgData
else:
imgData_z.append(imgData)
pbar.update()
if not self.to_h5:
imgData_z = np.squeeze(np.array(imgData_z, dtype=imgData.dtype))
imgData_ch.append(imgData_z)
pbar.close()
if not self.to_h5:
imgData_ch = np.squeeze(np.array(imgData_ch, dtype=imgData.dtype))
myutils.to_tiff(
filePath, imgData_ch,
SizeT=savedSizeT,
SizeZ=self.SizeZ,
TimeIncrement=self.TimeIncrement,
PhysicalSizeZ=self.PhysicalSizeZ,
PhysicalSizeY=self.PhysicalSizeY,
PhysicalSizeX=self.PhysicalSizeX,
)
else:
h5f.close()
shutil.move(tempFilepath, filePath)
shutil.rmtree(tempDir)
def saveData(
self, images_path, rawFilePath, filename, p, series, pos_n,
p_idx=0
):
if self.bioformats_backend == 'bioio':
from cellacdc import acdc_bioio_bioformats as bioformats
else:
import javabridge
from cellacdc import bioformats
s0p = str(pos_n).zfill(self.numPosDigits)
self.progress.emit(
f'Position {pos_n}/{self.numPos}: saving data to {images_path}...'
)
filenameNOext, ext = os.path.splitext(filename)
metadataXML_path = os.path.join(
images_path,
self.getFilename(filenameNOext, s0p, 'metadataXML', series, '.txt')
)
with open(metadataXML_path, 'w', encoding="utf-8") as txt:
txt.write(str(self.metadataXML))
metadata_filename, basename = self.getFilename(
filenameNOext, s0p, 'metadata', series, '.csv',
return_basename=True
)
metadata_csv_path = os.path.join(images_path, metadata_filename)
savedSizeT = (
self.timeRangeToSave[1] - self.timeRangeToSave[0] + 1
)
df = pd.DataFrame({
'LensNA': self.LensNA,
'SizeT': savedSizeT,
'SizeZ': self.SizeZ,
'TimeIncrement': self.TimeIncrement,
'PhysicalSizeZ': self.PhysicalSizeZ,
'PhysicalSizeY': self.PhysicalSizeY,
'PhysicalSizeX': self.PhysicalSizeX,
'basename': basename
}, index=['values']).T
df.index.name = 'Description'
ch_metadata = [
chName for c, chName in enumerate(self.chNames)
if self.saveChannels[c]
]
description = [
f'channel_{c}_name' for c in range(self.SizeC)
if self.saveChannels[c]
]
ch_metadata.extend([
wavelen for c, wavelen in enumerate(self.emWavelens)
if self.saveChannels[c]
])
description.extend([
f'channel_{c}_emWavelen' for c in range(self.SizeC)
if self.saveChannels[c]
])
df_channelNames = pd.DataFrame({
'Description': description,
'values': ch_metadata
}).set_index('Description')
df = pd.concat([df, df_channelNames])
if os.path.exists(metadata_csv_path):
# Keep channel names already existing and not saved now
existing_df = pd.read_csv(metadata_csv_path).set_index('Description')
for c, chName in enumerate(self.chNames):
if self.saveChannels[c]:
continue
chName_idx = f'channel_{c}_name'
chWavelen_idx = f'channel_{c}_emWavelen'
try:
existing_chName = existing_df.at[chName_idx, 'values']
df.at[chName_idx, 'values'] = existing_chName
except Exception as e:
traceback.print_exc()
pass
try:
existing_chWavelen = existing_df.at[chWavelen_idx, 'values']
df.at[chWavelen_idx, 'values'] = existing_chWavelen
except Exception as e:
traceback.print_exc()
pass
df.to_csv(metadata_csv_path)
idxs = self.buildIndexes(self.SizeC, self.SizeT, self.SizeZ)
if self.rawDataStruct != 2:
if self.bioformats_backend == 'bioio':
import subprocess
from . import _process
save_data_py_filepath = os.path.join(
os.path.dirname(bioformats.__file__), '_save_data.py'
)
zyx_physical_sizes = (
self.PhysicalSizeZ, self.PhysicalSizeY, self.PhysicalSizeX
)
zyx_physical_sizes = " ".join(
[str(val) for val in zyx_physical_sizes]
)
uuid4 = uuid.uuid4()
command = (
f'{sys.executable}, {save_data_py_filepath}, '
f'-f, {rawFilePath}, '
f'-d, {" ".join([str(val) for val in self.saveChannels])}, '
f'-c, {" ".join(self.chNames)}, '
f'-s, {series}, '
f'-i, {images_path}, '
f'-p, {filenameNOext}, '
f'-pos, {s0p}, '
f'-t, {self.SizeT}, '
f'-z, {self.getSizeZ(rawFilePath)}, '
f'-time_increment, {self.TimeIncrement}, '
f'-zyx, {zyx_physical_sizes}, '
f'-r, {" ".join([str(val) for val in self.timeRangeToSave])}, '
f'-uuid, {uuid4}'
)
if self.to_h5:
command = f'{command}, -to_h5'
if not self.lazy_load:
command = f'{command}, -a'
args = [sys.executable, _process.__file__, '-c', command]
subprocess.run(args)
bioformats._utils.check_raise_exception(uuid4)
self.progressPbar.emit(len(self.chNames))
else:
self._saveDataPythonBioformats(
bioformats, rawFilePath, series, images_path,
filenameNOext, s0p, idxs
)
elif self.rawDataStruct == 2:
iter = enumerate(zip(self.chNames, self.saveChannels))
pos_rawFilenames = []
basename = filename
for c, (chName, saveCh) in iter:
self.progressPbar.emit(1)
if not saveCh:
continue
rawFilename = f'{basename}{pos_n}_{chName}'
pos_rawFilenames.append(rawFilename)
raw_src_path = os.path.dirname(rawFilePath)
rawFilePath = [
os.path.join(raw_src_path, f)
for f in myutils.listdir(raw_src_path)
if f.find(rawFilename)!=-1
][0]
if self.bioformats_backend == 'bioio':
import subprocess
from . import _process
save_data_py_filepath = os.path.join(
os.path.dirname(bioformats.__file__),
'_save_data_single_channel.py'
)
zyx_physical_sizes = (
self.PhysicalSizeZ,
self.PhysicalSizeY,
self.PhysicalSizeX
)
zyx_physical_sizes = " ".join(
[str(val) for val in zyx_physical_sizes]
)
uuid4 = uuid.uuid4()
command = (
f'{sys.executable}, {save_data_py_filepath}, '
f'-f, {rawFilePath}, '
f'-d, {" ".join([str(val) for val in self.saveChannels])}, '
f'-c, {chName}, '
f'-ch_idx, {c}, '
f'-s, {series}, '
f'-i, {images_path}, '
f'-p, {filenameNOext}, '
f'-pos, {s0p}, '
f'-t, {self.SizeT}, '
f'-z, {self.getSizeZ(rawFilePath)}, '
f'-time_increment, {self.TimeIncrement}, '
f'-zyx, {zyx_physical_sizes}, '
f'-r, {" ".join([str(val) for val in self.timeRangeToSave])}, '
f'-uuid, {uuid4}'
)
if self.to_h5:
command = f'{command}, -to_h5'
args = [sys.executable, _process.__file__, '-c', command]
subprocess.run(args)
bioformats._utils.check_raise_exception(uuid4)
self.progressPbar.emit(1)
else:
self._saveDataPythonBioformatsSingleChannel(
bioformats, rawFilePath, series, images_path,
filenameNOext, s0p, idxs, chName, c
)
if self.moveOtherFiles or self.copyOtherFiles:
# Move the other files present in the folder if they
# contain "otherFilename" in the name
otherFilename = f'{basename}{pos_n}'
rawFilePath = set()
for f in myutils.listdir(raw_src_path):
notRawFile = all(
[f.find(rawName)==-1 for rawName in pos_rawFilenames]
)
isPosFile = f.find(otherFilename)!=-1