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nihilnovi.py
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nihilnovi.py
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#!/usr/bin/python3
#-*- coding: utf-8 -*-
import gi, sys, os, signal, stat, warnings, re, time, pathlib
import numpy as np
import traceback, faulthandler ## Debugging library crashes
faulthandler.enable()
# https://docs.python.org/3/library/sys.html#sys.settrace
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk, Gdk, Pango
from gi.repository.GdkPixbuf import Pixbuf, Colorspace
import matplotlib
import matplotlib.cm as cm
import matplotlib.figure
from matplotlib.backends.backend_gtk3cairo import FigureCanvasGTK3Cairo as FigureCanvas
from matplotlib.backends.backend_gtk3 import NavigationToolbar2GTK3 as NavigationToolbar # if not specified, Python3 freezes
#from matplotlib.backends.backend_tkagg import FigureCanvasTk as FigureCanvas
# ... this fails (in gtk3 application) with AttributeError: 'FigureCanvasTk' object has no attribute 'set_size_request'
#from matplotlib.backends.backend_tkagg import NavigationToolbar2Tk as NavigationToolbar
#from mpl_toolkits.axes_grid1 import host_subplot ## allows better axes handling than fig.subplot
from matplotlib.widgets import Cursor
import robust_csv_parser
import sort_alpha_numeric
## User settings TODO -> external config file
## TODO These settings should be loaded dynamically from ./plotrc*.py, ../plotrc*.py, ../../plotrc*.py, ...
#matplotlib.rcParams['font.family'] = 'serif'
matplotlib.rcParams['font.size'] = 10
matplotlib.rcParams['axes.linewidth'] = .5
matplotlib.rcParams['savefig.facecolor'] = "white"
SIZELIMIT_FOR_HEADER = 10000
SIZELIMIT_FOR_DATA = 10000000
external_editor_command = ('/usr/bin/vim.gtk3', '-gp')
line_plot_command = \
"""
for x, y, n, param, label, xlabel, ylabel, color in \\\n zip(xs, ys, range(len(xs)), params, labels, xlabels, ylabels, colors):
ax.plot(x, y, label="%s" % (label), color=color)
#ax.plot(x, y, label="%s" % (label.split('.dat')[0]), color=colors[c%10], ls=['-','--'][int(c/10)])
#ax.set_xscale('log')
#ax.set_yscale('log')
ax.set_xlabel(xlabelsdedup)
ax.set_ylabel(ylabelsdedup)
plot_title = sharedlabels[-4:] ## last few labels that are shared among all curves make a perfect title
#plot_title = sharedlabels[sharedlabels.index('LastCroppedLabel')+1:] ## optionally, use all labels after the chosen one
#ax.set_xlim(xmin=0, xmax=1)
#ax.set_ylim(ymin=2.6, ymax=2.7)
#ax.set_title(' '.join(plot_title))
ax.legend(loc='best', prop={'size':10})
#np.savetxt('output.dat', np.vstack([x,ys[0],ys[1]]).T, fmt="%.8g")
#tosave.append('_'.join(plot_title)+'.png') ## whole graph will be saved as PNG
#tosave.append('_'.join(plot_title)+'.pdf') ## whole graph will be saved as PDF
"""
contour_plot_command = \
"""matplotlib.rc('font', size=12)
ys = np.array(ys)
cmaprange1, cmaprange2 = np.min(ys), np.max(ys)
param = np.linspace(1, 2, len(ys))
levels = np.linspace(cmaprange1, cmaprange2, 50)
# # Grid the data, produce interpolated quantities:
# from matplotlib.mlab import griddata
# min_xs, max_xs, min_params, max_params = min(xs), max(xs), min(params), max(params)
# xi = np.linspace(min_xs, max_xs, args.contourresx)
# paramsi = np.linspace(min_params, max_params, args.contourresp)
# interp_anisotropy = (max_xs-min_xs)/(max_params-min_params) * args.interp_aspect
# yi = griddata(xs, params*interp_anisotropy, ys, xi, paramsi*interp_anisotropy, interp='linear')
# # Logarithmic contour plot (10 contours per decade)
# lev_exp = np.arange(np.floor(np.log10(ys.min())-1), np.floor(np.log10(ys.max()))+1, 1./10)
# levs = np.power(10, lev_exp)
# cf = ax.contourf(xs[0], param, ys, levs, norm=ncl.LogNorm())
ax.contourf(xs[0], param, ys, levels=levels, extend='both')
ax.contour(xs[0], param, ys, levels=levels)
ax.set_xlabel('')
ax.set_ylabel('')
ax.set_title('')
"""
"""
ys = np.array(ys)
cmaprange1, cmaprange2 = np.min(ys), np.max(ys)
levels = 10**(np.linspace(np.log10(cmaprange1), np.log10(cmaprange2), 20))
p = np.hstack([np.arange(2, 4.6, 0.5), np.arange(5, 9.1, 1.0)])
contours = self.ax.contourf(x, p, ys, levels=levels, extend='both', cmap='gist_earth_r')
contours = self.ax.contour(x, p, ys, levels=levels, extend='both', cmap='gist_earth_r')
self.ax.set_xlabel('optical energy (eV)')
self.ax.set_ylabel('electron energy (keV)')
self.ax.set_title('Aixtron sample cathodoluminescence')
self.ax.set_xlim([1.6,4])
ax2 = self.ax.twiny()
def tick_function(p):
return 10.46*(p**1.68)
ax2.set_xlim(ax.get_ylim())
new_tick_locations = np.arange(2, 9, .5)
ax2.set_xticks(new_tick_locations)
ax2.set_yticklabels(tick_function(new_tick_locations))
ax2.set_ylabel('electron penetration depth (nm)')
"""
def inmydir(fn): return pathlib.Path(__file__).parent/fn # finds the basename in the script's dir
plot_commands = {'Lines':line_plot_command, 'Plot gallery': inmydir('./plot_gallery.py').read_text(), 'Contours':contour_plot_command, }
verbose = False
def debug(*args):
if verbose:
print("DEBUG: ", *args)
class Handler:
## == initialization ==
def __init__(self): #{{{
self.lockTreeViewEvents = False
np.seterr(all='ignore')
## Plotting initialization
self.fig = matplotlib.figure.Figure(figsize=(8,8), dpi=96, facecolor='#eeeeee', tight_layout=1)
# (figure is static, axes clear on every replot)
self.canvas = FigureCanvas(self.fig)
self.canvas.set_size_request(300,300)
# FIXME: The 'window' parameter of __init__() was deprecated in Matplotlib 3.6 and will be removed
# If any parameter follows 'window', they should be passed as keyword, not positionally.
# FIXME:
#w('txt_rc').modify_font(Pango.FontDescription("monospace 10"))
#DeprecationWarning: Gtk.ScrolledWindow.add_with_viewport is deprecated
self.toolbar = matplotlib.backends.backend_gtk3.NavigationToolbar2GTK3(self.canvas, w('box4').get_parent_window())
self.xlim, self.ylim = None, None
self.sw = Gtk.ScrolledWindow()
self.sw.add_with_viewport(self.canvas)
w('box4').pack_start(self.toolbar, False, True, 0)
#self.toolbar.append_item(Gtk.Button('tetet'))
## TODO find out how to modify the NavigationToolbar...
w('box4').pack_start(self.sw, True, True, 0)
self.toolbar.pan()
#TODO - define global shortcuts as a superset of the Matplotlib-GUI's internal, include also:
#toolbar.zoom() #toolbar.home() #toolbar.back() #toolbar.forward() #toolbar.save_figure(toolbar)
#TODO http://stackoverflow.com/questions/26433169/personalize-matplotlib-toolbar-with-log-feature
#TODO http://dalelane.co.uk/blog/?p=778
self.opj_file_cache = {}
self.dat_file_cache = {}
## TreeStore and ListStore initialization #TODO into separate routine?
self.tsFiles = Gtk.TreeStore(str, Pixbuf, str, Pixbuf, int, int, str)
self.treeStoreColumns = {'filepath':0, 'icon':1, 'name':2, 'plotstyleicon':3, 'column':4, 'spreadsheet':5, 'rowtype':6}
self.dummy_treestore_row = [None for x in self.treeStoreColumns.keys()]
treeViewCol0 = Gtk.TreeViewColumn(' ') # Create a TreeViewColumn
colCellPlot = Gtk.CellRendererPixbuf() # Create a column cell to display text
treeViewCol0.pack_start(colCellPlot, expand=True)
treeViewCol0.add_attribute(colCellPlot, "pixbuf", 3) # set params for icon
w('treeview1').append_column(treeViewCol0) # Append the columns to the TreeView
treeViewCol = Gtk.TreeViewColumn("File") # Create a TreeViewColumn
colCellImg = Gtk.CellRendererPixbuf() # Create a column cell to display an image
colCellText = Gtk.CellRendererText() # Create a column cell to display text
treeViewCol.pack_start(colCellImg, expand=False) # Add the cells to the column
treeViewCol.pack_start(colCellText, expand=True)
treeViewCol.add_attribute(colCellImg, "pixbuf", 1) # Bind the image cell to column 1 of the tree's model
treeViewCol.add_attribute(colCellText, "text", 2) # Bind the text cell to column 0 of the tree's model
w('treeview1').append_column(treeViewCol) # Append the columns to the TreeView
w('treeview1').set_expander_column(treeViewCol)
w('treeview1').set_model(self.tsFiles) # Append the columns to the TreeView
w('treeview1').get_selection().set_select_function(self.treeview1_selectmethod, data=None) # , full=True
## TODO: If files are specified as arguments, select these at start, and plot them at once
## If a directory is specified, just set it as the root of the file list. If none, use current working dir.
self.selected_row_names = []
self.populateTreeStore(self.tsFiles, reset_path=os.getcwd() if len(sys.argv)<=1 else sys.argv[1])
self.plot_reset()
self.plot_all_sel_records()
## Initialize the default plotting commands
w('txt_rc').get_buffer().set_text(line_plot_command)
#DeprecationWarning: Gtk.Widget.modify_font is deprecated
w('txt_rc').modify_font(Pango.FontDescription("monospace 10"))
## Add the data cursor by default # TODO - make this work
#cursor = Cursor(self.ax, useblit=True, color='red', linewidth=2)
# see also https://stackoverflow.com/questions/8955869/why-is-plotting-with-matplotlib-so-slow
# see also https://bastibe.de/2013-05-30-speeding-up-matplotlib.html
#}}}
## === FILE HANDLING ===
def is_branch(self,filename): # {{{
try:
result = stat.S_ISDIR(os.stat(filename).st_mode)
#print('testing ', filename, 'result=', result)
return result
except FileNotFoundError: ## this may be e.g. due to a broken symlink
print('warning: error occured reading ', filename) ## TODO why is this called twice for each file/dir?
return False
# }}}
def row_type_from_fullpath(self, fullpath):# {{{
"""
Known row types:
#Type row_is_leaf row_can_plot
dir 0 0
updir 1 0
csvtwocolumn 1 1
csvmulticolumn 0 0
xlsfile 0 0
xlsspread 0 0
xlscolumn 1 1
opjfile 0 0
opjgraph 0 0
opjspread 0 0
opjcolumn 1 1
unknown 1 0
"""
## Note: Remaining row types not returned by this function (i.e. xlsspread, xlscolumn, opjgraph etc.) are
## never assigned to files; they are added only when a file or spreadsheet is unpacked and populated.
## The determination of file type from its name is a bit sloppy, but it works and it is fast.
assert isinstance(fullpath, str)
if self.is_branch(fullpath):
return 'dir'
elif fullpath.lower().endswith('.xls'):
## TODO XLS support : determine if single spreadsheet, and/or if spreadsheet(s) contain single column
return 'xlsfile'
elif fullpath.lower().endswith('.opj'):
return 'opjfile'
elif any(fullpath.lower().endswith(try_ending) for try_ending in ('.csv', '.tsv', '.dat', '.txt', '.asc')):
try:
## Note: column number is incorrectly determined if header is longer than sizehint, but 10kB should be enough
t0=time.time()
data_array, header, parameters = robust_csv_parser.loadtxt(fullpath, sizehint=SIZELIMIT_FOR_HEADER)
print("PARSER prelim took (s)", time.time() - t0)
if len(header)<=2: return 'csvtwocolumn'
else: return 'csvmulticolumn'
except (IOError, RuntimeError): # This error is usually returned for directories and non-data files
return 'unknown'
else:
return 'unknown'
# }}}
def rowtype_is_leaf(self, rowtype):# {{{
""" Determines if row shall be selected (or unpacked, otherwise)
Rows representing containers (e.g. directories, multicolumn CSV files or Origin files)
are not "leaves", since they contain some structure that can be further unpacked. In contrast,
ordinary two-column CSV files or columns of CSV files are "leaves" and can be directly plotted.
"""
return (rowtype in ('csvtwocolumn', 'csvcolumn', 'xlscolumn', 'opjcolumn', 'unknown'))
# }}}
def rowtype_can_plot(self, rowtype):# {{{
""" Determines if row shall be plotted """
return (rowtype in ('csvtwocolumn', 'xlscolumn', 'opjcolumn'))
# }}}
def rowtype_icon(self, rowtype, iconsize=8):# {{{
iconname = {
'updir': 'go-up',
'dir': 'folder',
'csvtwocolumn': 'text-x-generic',
'csvmulticolumn': 'package-x-generic',
'csvcolumn': 'text-x-generic',
'opjfile': 'package-x-generic',
'opjspread': 'go-next',
'opjgraph': 'go-previous',
'opjcolumn': 'text-x-generic',
'xlsfile': 'package-x-generic',
'xlsspread': 'go-next',
'xlscolumn': 'text-x-generic',
'unknown': 'stop'
}
return Gtk.IconTheme.get_default().load_icon(iconname[rowtype], iconsize, 0)
# }}}
def origin_parse_or_cache(self, filepath):# {{{
## FIXME update cache on file change!
if not filepath in self.opj_file_cache.keys() or os.stat(filepath).st_mtime > self.opj_file_cache[filepath]['LastLoadTime']:
import liborigin
FileContent = liborigin.parseOriginFile(filepath)
LastLoadTime = os.stat(filepath).st_mtime
self.opj_file_cache[filepath] = {'LastLoadTime':LastLoadTime, 'FileContent':FileContent}
return self.opj_file_cache[filepath]
# }}}
def dat_parse_or_cache(self, filepath):# {{{
if not filepath in self.dat_file_cache.keys() or os.stat(filepath).st_mtime > self.dat_file_cache[filepath]['LastLoadTime']:
t0=time.time()
FileContent = robust_csv_parser.loadtxt(filepath, sizehint=SIZELIMIT_FOR_DATA)
print("LOADING UNCACHED FILE , ", filepath, " , took (s)", time.time() - t0)
LastLoadTime = os.stat(filepath).st_mtime
self.dat_file_cache[filepath] = {'LastLoadTime':LastLoadTime, 'FileContent':FileContent}
return self.dat_file_cache[filepath]['FileContent']
# }}}
def decode_origin_label(self, bb, splitrows=False): # {{{
bb = bb.decode('utf-8', errors='ignore').replace('\r', '').strip()
bb = bb.split('@${')[0] # remove origin's mysterious references in labels
bb = bb.replace('\\-', '_') ## this is the lower index - todo: use latex notation?
for asc,greek in zip('abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ', 'αβγδεζηθιjκλμνοπρςστυφχξψωΑΒΓΔΕΖΗΘΙJΚΛΜΝΟΠQΡΣΤΥΦΧΞΨΩ'):
bb = bb.replace('\\g(%s)' % asc, greek)
if not splitrows: return bb.replace('\n', ' ')
else: return bb.split('\n')
# }}}
def populateTreeStore(self, treeStore, parent_row=None, reset_path=None):# {{{
## without any parent specified, rows will be added to the root (i.e. very left) of the TreeView,
## otherwise they will become childs thereof
# Note: We use the concept of "branches" and "leaves", which is similar to "folders" and "files".
# However, it is not the same, since a file may contain more data columns, thus being a branch.
# Flattening is a user-friendly way of viewing the tree, which may reduce clicking. If a branch
# contains exactly one leaf, it will be treated as a leaf itself.
def semirecursive_flattening_file_search(trypath, indent):
## Note: Returning 0 means the branch is empty, returning 2 means it contains two or more objects
## Todo: use the same procedure also for e.g. columns within files
## Read what is found under trypath: (TODO generalize to more than just filesystem!)
try:
leaves = [f for f in os.listdir(trypath) if (not self.is_branch(os.path.join(trypath,f))
and (fileFilterString == '' or re.findall(fileFilterString, f)))]
except:
leaves = []
try:
branches = [f for f in os.listdir(trypath) if (self.is_branch(os.path.join(trypath,f))
and (dirFilterString == '' or re.findall(dirFilterString, os.path.basename(f))))]
except:
branches = []
## todo: hide also leaves that could not be loaded as data
if len(leaves) >= 2: return 2 # has 2 or more leaves, cannot be collapsed, just quit
recbs = []
complex_branch_name = None
for b in branches:
recb = semirecursive_flattening_file_search(os.path.join(trypath,b), indent+'· ')
if recb!=0:
recbs.append(recb); complex_branch_name = b
if len(recbs)>=2: # contains 2 or more branches, cannot be collapsed
return 2
if len(recbs) == 0:
if len(leaves) == 0: return 0 # branch effectively empty (contains nothing that passes our filters)
if len(leaves) == 1: return os.path.join(trypath, leaves[0]) # has one leaf, can collapse
if len(recbs) == 1:
if len(leaves) == 0:
if recbs[0] == 2: # contains one branch only with more objects, can collapse this
return os.path.join(trypath, complex_branch_name)
else: # contains one already collapsed branch, collapse further
return recbs[0]
if len(leaves) == 1: return 2 # contains more objects, so cannot be collapsed
if parent_row is None:
if reset_path is not None:
basepath = reset_path
else:
if self.row_prop(self.tsFiles.get_iter_first(), 'rowtype') == 'updir':
basepath = self.row_prop(self.tsFiles.get_iter_first(), 'filepath')
else:
raise AttributeError('Specify either parent_row, reset_path, or ensure the first row is of "updir" type')
w('window1').set_title('NihilNovi: %s' % basepath)
## On startup, or when the 'updir' node is selected, we update the whole tree.
## Initially, it has to be cleared of all rows.
## During this operation, its selection will change, so we lock the plotting from being updated so that it is fast.
self.lockTreeViewEvents = True
self.tsFiles.clear() ## TODO: remember the unpacked rows, and also the selected ones
self.clearAllPlotIcons(self.tsFiles.get_iter_first()) ## TODO: obsolete, rm!
## TODO remember and try to renew the unpacked rows *also* when dir/column/filter changes
self.lockTreeViewEvents = False
## The first node of cleared treeStore will point to the above directory, enabling one to browse whole filesystem
plotstyleIcon = Pixbuf.new(Colorspace.RGB, True, 8, 10, 10)
plotstyleIcon.fill(0xffffffff)
currentIter = treeStore.append(None,
[basepath, self.rowtype_icon('updir'), '..', plotstyleIcon, None, None, 'updir'])
## ^^ FIXME basepath? or os.path.dirname(basepath) ?
treeStore.append(currentIter, self.dummy_treestore_row)
elif parent_row is not None and reset_path is None:
## If not resetting the whole tree, get the basepath from the parent row
basepath = treeStore.get_value(parent_row, self.treeStoreColumns['filepath'])
else:
raise AttributeError()
## Prepare the lists of paths, column numbers and spreadsheet numbers to be added
parentrowtype = self.row_prop(parent_row, 'rowtype') if parent_row else 'dir'
assert not self.rowtype_is_leaf(parentrowtype)
columnFilterString = w('enColFilter').get_text().strip() #XXX XXX
print(time.time(), "POPULATING", basepath)
if parentrowtype == 'dir': ## Populate a directory with files/subdirs
## Get the directory contents and sort it alphabetically
fileFilterString = w('enFileFilter').get_text().strip()
dirFilterString = w('enDirFilter').get_text().strip()
if not w('chk_FlattenFolders').get_active():
leaves = sorted([os.path.join(basepath,f) for f in os.listdir(basepath) if (not self.is_branch(os.path.join(basepath,f))
and (fileFilterString == '' or re.findall(fileFilterString, f)))], key=sort_alpha_numeric.split_alpha_numeric_lowercase)
branches = sorted([os.path.join(basepath,f) for f in os.listdir(basepath) if (self.is_branch(os.path.join(basepath,f))
and (dirFilterString == '' or re.findall(dirFilterString, os.path.basename(f))))], key=sort_alpha_numeric.split_alpha_numeric_lowercase)
filenames = branches + leaves
else:
filenames = []
leaves = sorted([os.path.join(basepath,f) for f in os.listdir(basepath) if (not self.is_branch(os.path.join(basepath,f))
and (fileFilterString == '' or re.findall(fileFilterString, f)))], key=sort_alpha_numeric.split_alpha_numeric_lowercase)
branches = sorted([os.path.join(basepath,f) for f in os.listdir(basepath) if (self.is_branch(os.path.join(basepath,f))
and (dirFilterString == '' or re.findall(dirFilterString, os.path.basename(f))))], key=sort_alpha_numeric.split_alpha_numeric_lowercase)
for b in branches:
recb = semirecursive_flattening_file_search(os.path.join(basepath,b), '')
if recb == 2:
filenames.append(b)
elif recb != 0:
filenames.append(recb)
filenames += leaves
itemFullNames = filenames #[os.path.join(basepath, filename) for filename in filenames] # add the full path
itemShowNames = [fn[len(basepath)+1:] for fn in filenames] # only file name without path will be shown
columnNumbers = [None] * len(itemFullNames) # obviously files/subdirs are assigned no column number
spreadNumbers = [None] * len(itemFullNames) # nor they are assigned any spreadsheet number
rowTypes = [self.row_type_from_fullpath(f) for f in itemFullNames]
elif parentrowtype == 'csvmulticolumn':
## Note: Multicolumn means at least 3 columns (i.e. x-column and two or more y-columns)
txt = self.dat_parse_or_cache(basepath)
data_array, header, parameters = txt
#columnFilterString = 'gamma|fermi'
columnNumbers, header = zip(*[n for n in enumerate(header) if re.findall(columnFilterString, n[1])]) ## filter the columns
#FIXME File "/home/dominecf/p/nihilnovi/nihilnovi.py", line 303, in populateTreeStore
#columnNumbers, header = zip(*[n for n in enumerate(header) if re.findall(columnFilterString, n[1])]) ## filter the columns
#ValueError: not enough values to unpack (expected 2, got 0)
itemFullNames = [basepath] * len(header) # all columns are from one file
itemShowNames = header # column numbers are either in file header, or auto-generated
spreadNumbers = [None] * len(header) # there are no spreadsheets in CSV files
rowTypes = ['csvcolumn'] * len(header)
elif parentrowtype == 'opjfile':
opj = self.origin_parse_or_cache(basepath)
## Add "graphs" - which show the selected columns in presentation-ready format
## todo: support for multiple opjlayers also here
## todo: take into account this field with useful data: ["spreads"].columns[3].comment = b"PL Intensity^M [arb. units]^M 110A 10%"
def generate_graph_annotation(graph):
layerNumber = 0 ## Fixme support for multiple opjlayers: ["graphs"][1].layers[0].curves[3].xColumnName
try:
legend_box = self.decode_origin_label(graph.layers[0].legend.text, splitrows=True)
except IndexError:
legend_box = ''
comment = ""
for legendline in legend_box: ## the legend may have format as such: ['\l(1) 50B', '\l(2) 48B', ...], needs to be pre-formatted:
newline = re.sub(r'\\l\(\d\)\s', '', legendline)
if newline == legendline: comment += newline + ' '
return comment
itemShowNames = ['%s; name: %s; label: %s' % (self.decode_origin_label(graph.name), self.decode_origin_label(graph.label),
generate_graph_annotation(graph)) for graph in opj['FileContent']['graphs']]
itemFullNames = [basepath] * len(itemShowNames) # all columns are from one file
columnNumbers = [None] * len(itemShowNames)
spreadNumbers = list(range(len(itemShowNames)))
rowTypes = ['opjgraph'] * len(itemShowNames)
## Add "columns" - which enable to access all data in the file, including those not used in "graphs"
#for spread in opj['FileContent']['spreads']:
#print(spread.label, self.decode_origin_label(spread.label))
itemShowNames = itemShowNames + ['%s "%s"' % (self.decode_origin_label(spread.name), self.decode_origin_label(spread.label))
for spread in opj['FileContent']['spreads']]
itemFullNames = itemFullNames + [basepath] * len(itemShowNames) # all columns are from one file
columnNumbers = columnNumbers + [None] * len(itemShowNames)
spreadNumbers = spreadNumbers + list(range(len(itemShowNames)))
rowTypes = rowTypes + ['opjspread'] * len(itemShowNames)
elif parentrowtype == 'opjspread':
opj = self.origin_parse_or_cache(basepath)
parent_spreadsheet = self.row_prop(parent_row, 'spreadsheet')
## origin 8.5+ quirk: it sometimes fills 1st column with column labels (i.e. strings+stuffing)
debug("columnFilterString = ", columnFilterString)
debug("opj['FileContent']['spreads'][parent_spreadsheet].columns", [(c.name,c.type) for c in opj['FileContent']['spreads'][parent_spreadsheet].columns])
#print('CND', column.name.decode('utf-8'), 'CCD', column.comment.decode('utf-8') )
numbered_valid_columns = [(n, self.decode_origin_label(column.name)+" "+self.decode_origin_label(column.comment)) for n, column in
enumerate(opj['FileContent']['spreads'][parent_spreadsheet].columns) if
(getattr(column, 'type') != 6 and
(not columnFilterString or
(re.findall(columnFilterString, column.name.decode('utf-8')) or
re.findall(columnFilterString, column.comment.decode('utf-8')))))]
debug("numbered_valid_columns = ", numbered_valid_columns)
columnNumbers, itemShowNames = zip(*numbered_valid_columns) # if numbered_valid_columns else [], []
debug("columnNumbers = ", columnNumbers)
debug("itemShowNames = ", itemShowNames)
itemFullNames = [basepath] * len(itemShowNames) # all columns are from one file
spreadNumbers = [parent_spreadsheet] * len(itemShowNames)
rowTypes = ['opjcolumn'] * len(itemShowNames)
elif parentrowtype == 'opjgraph':
opj = self.origin_parse_or_cache(basepath)
parent_graph = self.row_prop(parent_row, 'spreadsheet') ## The key 'spreadsheet' is misused here to mean 'graph'
layerNumber = 0 ## Fixme support for multiple opjlayers: ["graphs"][1].layers[0].curves[3].xColumnName
## Try to extract meaningful legend for each curve, assuming the legend box has the same number of lines
curves = opj['FileContent']['graphs'][parent_graph].layers[layerNumber].curves
debug("opj['graphs'][parent_graph].layers[layerNumber].curves", curves, 'with names=', [curve.dataName for curve in curves])
legend_box = self.decode_origin_label(opj['FileContent']['graphs'][parent_graph].layers[layerNumber].legend.text, splitrows=True)
legends = []
for legendline in legend_box: ## the legend may have format as such: ['\l(1) 50B', '\l(2) 48B', ...], needs to be pre-formatted:
newline = re.sub(r'\\l\(\d\)\s', '', legendline)
if newline != legendline: legends.append(newline)
legends = legends[:len(curves)] + (['']*(len(curves)-len(legends))) ## trim or extend the legends to match the curves
itemShowNames, itemFullNames, columnNumbers, spreadNumbers = [], [], [], []
for curve, legend in zip(curves, legends):
## FIXME add support for xColumn different than the first one in Spreadsheet, also here
#print("curve t xCol yCol:", curve.dataName.self.decode_origin_label('utf-8'),
#curve.xColumnName.self.decode_origin_label('utf-8'), curve.yColumnName.self.decode_origin_label('utf-8'))
#print([spread.name for spread in opj['spreads']], (curve.dataName[2:]))
## Seek the corresponding spreadsheet and column by their name
debug("[spread.name for spread in opj['FileContent']['spreads']]", [spread.name for spread in opj['FileContent']['spreads']])
#spreadsheet_index = [spread.name for spread in opj['FileContent']['spreads']].index(curve.dataName)
spreadsheet_index = [spread.name for spread in opj['FileContent']['spreads']].index(curve.dataName[2:])
# TODO liborigin API has changed, see /p/nihilnovi/test_files-real_life/comp*opj:
# File "/home/dominecf/bin/nin", line 1067, in on_treeview1_row_expanded
# self.populateTreeStore(treeStore, parent_row=treeIter)
# File "/home/dominecf/bin/nin", line 493, in populateTreeStore
# spreadsheet_index = [spread.name for spread in opj['FileContent']['spreads']].index(curve.dataName[2:])
# ValueError: b'ledavaspec181' is not in list
spread = opj['FileContent']['spreads'][spreadsheet_index]
y_column_index = [column.name for column in spread.columns].index(curve.yColumnName)
x_column_index = [column.name for column in spread.columns].index(curve.xColumnName)
#debug(curve.dataName[2:].self.decode_origin_label('utf-8'), spreadsheet_index,
#curve.yColumnName.self.decode_origin_label('utf-8'), y_column_index)
itemShowNames.append('%s -> spread %s: column %s (%s)' %
(legend, self.decode_origin_label(spread.name),
self.decode_origin_label(spread.columns[y_column_index].name),
self.decode_origin_label(spread.columns[y_column_index].comment))) ### TODO we write "against" but
itemFullNames.append(basepath) # all columns are from one file
columnNumbers.append(y_column_index)
spreadNumbers.append(spreadsheet_index)
rowTypes = ['opjcolumn'] * len(itemShowNames) ## TODO or introduce opjgraphcurve ?
else:
warnings.warn('Not prepared yet to show listings of this file: %s' % parentrowtype)
return
## Go through all items and populate the node
for itemFullName, itemShowName, columnNumber, spreadNumber, rowtype in \
zip(itemFullNames, itemShowNames, columnNumbers, spreadNumbers, rowTypes):
plotstyleIcon = Pixbuf.new(Colorspace.RGB, True, 8, 10, 10)
plotstyleIcon.fill(0xffffffff)
if rowtype != 'unknown' or w('chk_ShowAllFiles').get_active():
currentIter = treeStore.append(parent_row,
[itemFullName, self.rowtype_icon(rowtype), itemShowName, plotstyleIcon, columnNumber, spreadNumber, rowtype])
if not self.rowtype_is_leaf(rowtype): ## TODO row---> parentrowtype
treeStore.append(currentIter, self.dummy_treestore_row) # shows the "unpacking arrow" left of the item
# }}}
## === GRAPHICAL PRESENTATION ===
def clearAllPlotIcons(self, treeIter):# {{{
while treeIter != None:
iterpixbuf = self.row_prop(treeIter, 'plotstyleicon')
if iterpixbuf: iterpixbuf.fill(self.array2rgbhex([.5,.5,1], alpha=0)) ## some nodes may have pixbuf set to None
self.clearAllPlotIcons(self.tsFiles.iter_children(treeIter))
treeIter=self.tsFiles.iter_next(treeIter)
# }}}
def array2rgbhex(self,arr3,alpha=1): # {{{
return int(arr3[0]*256-.5)*(256**3) +\
int(arr3[1]*256-.5)*(256**2) +\
int(arr3[2]*256-.5)*(256**1) +\
int(alpha*255 -.5)
# }}}
def plot_reset(self):# {{{
self.fig.clf()
self.ax = self.fig.add_subplot(111)
self.ax.callbacks.connect('xlim_changed', self.on_xlims_change)
self.ax.callbacks.connect('ylim_changed', self.on_ylims_change)
## TODO: this may enable better handling of axes, but needs to make compatible with the object model of figure.Figure
# self.ax = host_subplot(111, figure=self.fig.gcf() )
def recursive_clear_icon(treeIter):
while treeIter != None:
iterpixbuf = self.tsFiles.get_value(treeIter, 3)
if iterpixbuf: iterpixbuf.fill(self.array2rgbhex([.5,.5,1], alpha=0)) ## some nodes may have pixbuf set to None
recursive_clear_icon(self.tsFiles.iter_children(treeIter))
treeIter=self.tsFiles.iter_next(treeIter)
recursive_clear_icon(self.tsFiles.get_iter_first())
w('treeview1').queue_draw()
# }}}
def safe_np_array(self, x, y): ## converts two lists to 2 numpy array; if float() fails when processing any (x,y) row, leave it out {{{
if len(x) < len(y): y = y[0:len(x)] ## in any case, match the length of x- and y-data
if len(y) < len(x): x = x[0:len(y)]
try: ## fast string-to-float conversion
x, y = [np.array(arr, dtype=float) for arr in (x,y)] ## TODO dtype=float
except ValueError: ## failsafe string-to-float conversion
x0, y0 = [], []
for x1,y1 in zip(x,y):
try:
xf, yf = float(x1), float(y1)
x0.append(xf); y0.append(yf)
except ValueError:
pass
x,y = [np.array(arr, dtype=float) for arr in (x0, y0)] ## TODO dtype=floatx0, y0
try:
mask = np.logical_and(y!=0, np.abs(y)>1e-250) ## Origin OPJ files stuff garbage at the dataset end
x, y = x[mask], y[mask]
except np.core._exceptions.UFuncTypeError:
mask = np.logical_and(y!='', y!=b'') ## Origin OPJ files also stuff strings at the dataset end
x, y = x[mask].astype(float), y[mask].astype(float)
return x, y
# }}}
def load_row_data(self, row):# {{{
""" loads all relevant data for a given treestore row, and returns: x, y, label, parameters, xlabel, ylabel
Plotting is "on-the-fly", i.e., program does not store any data (except DAT/OPJ file cache) and loads them
from disk upon every (re)plot. TODO reload the cache on file change!
"""
## Load the data
rowfilepath = self.row_prop(row, 'filepath')
rowtype = self.row_prop(row, 'rowtype')
rowycolumn = self.row_prop(row, 'column')
rowsheet = self.row_prop(row, 'spreadsheet')
if rowtype == 'opjcolumn':
opj = self.origin_parse_or_cache(rowfilepath)
def find_first_numerical_column(cols):
for n, column in enumerate(cols):
if getattr(column, 'type') != 6: ## origin 8.5+ quirk: it sometimes fills 1st column with column labels (i.e. strings+stuffing)eI
return n
rowxcolumn = find_first_numerical_column(opj['FileContent']['spreads'][rowsheet].columns)
# TODO: what does opj['FileContent']['spreads'][3].multisheet mean?
x, y = [opj['FileContent']['spreads'][rowsheet].columns[c].data for c in [rowxcolumn, rowycolumn]]
x, y = self.safe_np_array(x, y)
#TODO 2020-10-25: filter < 1e-287 garbage from origin
xlabel, ylabel = [self.decode_origin_label(opj['FileContent']['spreads'][rowsheet].columns[c].name) for c in [rowxcolumn, rowycolumn]]
parameters = {} ## todo: is it possible to load parameters from origin column?
descriptor = rowfilepath+" "+ylabel+" "+self.decode_origin_label(opj['FileContent']['spreads'][rowsheet].columns[rowycolumn].comment) ## FIXME XXX
return x, y, descriptor, parameters, xlabel, ylabel
elif rowtype in ('csvtwocolumn', 'csvcolumn'):
data_array, header, parameters = self.dat_parse_or_cache(rowfilepath)
rowxcolumn = 0
if rowtype == 'csvtwocolumn':
rowycolumn = 1
## in fact, file denoted as "csvtwocolumn" may have only one column, in such a case generate simple integer x-axis numbering
if len(header) == 1:
data_array = np.vstack([np.arange(len(data_array)), data_array.T]).T #
header = ['point number'] + header
## TODO consider also parameters in the file!
descriptor = rowfilepath +" "+header[rowycolumn]
return data_array.T[rowxcolumn], data_array.T[rowycolumn], descriptor, parameters, header[rowxcolumn], header[rowycolumn]
#elif rowtype == 'xls':
# TODO a XLS file is a *container* with multiple sheets, a sheet may contain multiple columns
#return
#xl = pd.ExcelFile(infile, header=1) ##
#debug(xl.sheet_names)
#debug(xl.sheets[rowsheet])
#df = xl.parse()
#x, y, xlabel, ylabel = df.values.T[rowxcolumn], df.values.T[rowycolumn], header[rowxcolumn], header[rowycolumn]
## TODO Should offer choice of columns ## FIXME clash with 'header'!!
else:
print("rowtype ", rowtype)
raise RuntimeError ## for all remaining filetypes, abort plotting quietly
# }}}
def dedup_keys_values(self, keyvalue_strings, output_strings=True, output_removed=False):# {{{
""" Seeks for key=value pairs that are shared with among all strings in the list, and removes them if found """
def try_float_value(tup):
""" Whenever possible, safely convert second tuple items (i.e. values) to float """
if len(tup)==1: return tup
elif len(tup)==2:
try: return (tup[0], float(tup[1]))
except: return tup
def rm_ext(s):
try:
base, ext = s.rsplit('.',1)
if ext and len(ext)<=3 and re.sub('\d', '', ext): return base
except ValueError:
pass
return s
def all_to_string(tup): return [str(v) for v in tup]
## File name may be interesting as curve label, but not its extension -> filter it out
keyvalue_strings = [re.sub('\.[a-zA-Z][\w]?[\w]?$', '', kvstring) for kvstring in keyvalue_strings]
## Split names into "key=value" chunks and then into ("key"="value") tuples
keyvaluelists = []
for keyvalue_string in keyvalue_strings:
#debug("keyvalue_strings", keyvalue_strings) ## TODO clean up debugging leftovers
chunklist = re.split('[_ /]', keyvalue_string)
#debug(" chunklist", chunklist)
keyvaluelist = [try_float_value(re.split('=', rm_ext(chunk.replace('~', ' ')))) for chunk in chunklist]
#debug(" -> keyvaluelist", keyvaluelist)
keyvaluelists.append(keyvaluelist)
## If identical ("key"="value") tuple found everywhere, remove it
## FIXME: removes also keys that are contained deep in the names of common upper directory; in such a case should
## eliminate the common directory name first
removedkvlist = []
for keyvaluelist in keyvaluelists.copy():
#debug("KEYVALUELIST ---------- ", keyvaluelist)
for keyvalue in keyvaluelist.copy():
if all([(keyvalue in testkeyvaluelist) for testkeyvaluelist in keyvaluelists]):
if keyvalue == '70mm': debug("REMOVING", keyvalue , "it was found in all" , keyvaluelists )
for keyvaluelist2 in keyvaluelists:
keyvaluelist2.remove(keyvalue)
removedkvlist.append(keyvalue)
## By default, return simple flat list of strings, otherwise a nested [[(key,value), ...]] structure
if output_strings:
keyvaluelists = [' '.join(['='.join(all_to_string(kvpair)) for kvpair in keyvaluelist]).strip() for keyvaluelist in keyvaluelists]
removedkvlist = ['='.join(all_to_string(kvpair)).strip() for kvpair in removedkvlist]
if output_removed: ## Optionally, output also the parameters that are shared among all files
return keyvaluelists, removedkvlist
else:
return keyvaluelists
# }}}
def plot_all_sel_records(self):# {{{
## Setting persistent view is somewhat kafkaesque with matplotlib.
## self.xlim remembers the correct view from the last GUI resize , but
## ax.get_xlim from the start of this method returns the wrong (autoscaled) limits, why?
init_time = time.time()
print(f'\n\n\nt = {time.time()-init_time:6.3f}s: Starting replot')
#if not w('chk_autoscale_x').get_active() and self.xlim: self.ax.set_xlim(self.xlim)
#if not w('chk_autoscale_y').get_active() and self.ylim: self.ax.set_ylim(self.ylim)
## Load all row data
(model, pathlist) = w('treeview1').get_selection().get_selected_rows()
error_counter = 0
row_data = []
row_labels = []
plotted_paths = []
for path in pathlist:
try:
row_data.append(self.load_row_data(self.tsFiles.get_iter(path)))
plotted_paths.append(path)
except (RuntimeError, ValueError):
traceback.print_exc() ## TODO - show the error in a GUI textbox, possibly also moving cursor in the script editor
error_counter += 1
w('statusbar1').push(0, ('%d records loaded' % len(pathlist)) + ('with %d errors' % error_counter) if error_counter else '')
xs, ys, labels_orig, params, xlabels, ylabels = zip(*row_data) if row_data else [[] for _ in range(6)]
labels, sharedlabels = self.dedup_keys_values(labels_orig, output_removed=True)
#debug('LABELS', labels, 'sharedlabels', sharedlabels)
#for n,v in zip('xs, ys, labels, params, xlabels, ylabels'.split(), [xs, ys, labels, params, xlabels, ylabels]):
#debug(n,v)
##
## TODO: Once files are correctly named:
## additionally check if there is exactly one column in the 'params' table that differs among files: label="%s=%s" % (labelkey, labelval)
## If it is, set its name and value to: zs and zlabels variables for correct plotting contour maps
## ?? If there is none, or too many, the curves will be labeled just by their column label found in the header.
## TODO allow also to name the curves by the file name, if the column names do not exist or are all the same!
## TODO TODO Generate the color palette for curves
#jet = matplotlib.cm.jet(np.arange(256))
#my_cmap = matplotlib.colors.ListedColormap(jet, name='myColorMap', N=jet.shape[0])
#matplotlib.colormaps.register(cmap=my_cmap)
my_cm = matplotlib.cm.gist_rainbow
color_pre_map = np.linspace(0.05, .95, len(plotted_paths)+1)[:-1]
colors = my_cm(color_pre_map*.5 + np.sin(color_pre_map*np.pi/2)**2*.5)
for path, color_from_palette in zip(plotted_paths, colors):
## If no exception occured during loading, colour the icon according to the line colour
icon = self.row_prop(self.tsFiles.get_iter(path), 'plotstyleicon')
if icon: icon.fill(self.array2rgbhex(color_from_palette))
plotted_paths.append(path) ## TODO: this is really confusing, since we have been iterating over plotted_paths!
## TODO: decide what is the distinguishing parameter for the given set of rows ---> <str> labelkey, <labelvals
# 1) (almost) all curves should have it defined
# 2) it should differ among (almost) all curves
# 3) it may be in the params dict, or in the filename (for csvtwocolumn), or in the header of csvcolumn, opjcolumn etc.
## Plot all curves sequentially
plot_cmd_buffer = w('txt_rc').get_buffer()
plot_command = plot_cmd_buffer.get_text(plot_cmd_buffer.get_start_iter(), plot_cmd_buffer.get_end_iter(),
include_hidden_chars=True)
#debug("BEFORE COMMAND")
#debug(row_data)
if plot_command.strip() == '': return
tosave=[]
debug(f't = {time.time()-init_time:6.3f}s: Preparing execution environment')
def dedup(l): return list(dict.fromkeys(l[::-1]))[::-1] ## deduplicates items, preserves order of first occurence
## TODO it would be user friendly to switch to all fns from numpy namespace, using: from numpy import *
# the trouble is such import would overwrite following builtins :
#In [13]: [n for n in dir(np) if n in dir(__builtins__) and not n.startswith('__')]
#Out[13]: ['abs', 'all', 'any', 'divmod', 'max', 'min', 'round', 'sum']
# ... but these 8 numpy functions are not drop-in equivalents to the builtins, e.g.:
#In [19]: max(1,2)
#Out[19]: 2
#In [20]: from numpy import max
#In [21]: max(1,2)
#... AxisError: axis 2 is out of bounds for array of dimension 0
# FIXME VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of
# lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to
# do this, you must specify 'dtype=object' when creating the ndarray
exec_env = {'np':np, 'matplotlib':matplotlib, 'cm':matplotlib.cm, 'ax':self.ax, 'fig': self.fig,
'xs':list(xs).copy(), 'ys':list(ys).copy(), 'labels':labels, 'sharedlabels':sharedlabels,
'params':np.array(params), 'xlabels':xlabels, 'ylabels':ylabels,
'xlabelsdedup':', '.join(dedup(xlabels))[:100], 'ylabelsdedup':', '.join(dedup(ylabels))[:100],
'colors':colors, 'tosave':tosave, 'labels_orig':labels_orig}
#debug(exec_env)
#self.fig.clf() ## clear figure
print(f't = {time.time()-init_time:6.3f}s: Plotting script starting')
try:
exec(plot_command, exec_env)
#debug("JUST AFTER COMMAND")
except SyntaxError:
debug("SYNTAX ERROR:")
traceback.print_exc() ## TODO locate the error
except:
debug("OTHER ERROR")
traceback.print_exc() ## TODO locate the error
print(f't = {time.time()-init_time:6.3f}s: Plotting script finished')
if tosave != []: print('Exported image files in the `tosave` list:', tosave)
try:
for savefilename in list(tosave):
self.fig.savefig(savefilename) # TODO check for overwrites
print("nihilnovi: saving output to:", savefilename)
except IOError as e:
print("nihilnovi: saving output failed with", e)
#print("AFTER COMMAND")
#code = compile(plot_command, "somefile.py", 'exec') TODO
#exec(code, global_vars, local_vars)
#else:
#plot_command = default_plot_command
#plot_cmd_buffer.set_text(default_plot_command)
#self.ax.legend(loc="best")
self.ax.grid(True)
#self.ax.set_xscale('log' if w('chk_xlogarithmic').get_active() else 'linear') ## TODO caused freezes
#self.ax.set_yscale('log' if w('chk_ylogarithmic').get_active() else 'linear') ## TODO caused freezes
#print(" - relim - ")
#self.ax.relim() ## If relim enabled, logarithmic axes scale wrong, i.e. from (6.7370464889520478e-316, 4.0007331215613123e+18)
#print(" - autoscale - ")
#self.ax.autoscale_view() # Autoscale the view limits using the data limits.
#print(" - draw - ")
#cursor = Cursor(self.ax, color='red', linewidth=.5) ## FIXME http://blog.yjl.im/2009/10/blit-cursor-in-matplotlib.html
self.canvas.draw()
print(f't = {time.time()-init_time:6.3f}s: Matplotlib drawing finished.')
self.remember_treeView_selected_rows(self.tsFiles, w('treeview1'))
return True
"""
xlims_changed from (4.6147009455810979, 3650.4430782521085)
to (-128.203125, 2829.765625)
xlims_changed from (-128.203125, 2829.765625)
to (4.6147009455810979, 3650.4430782521085)
- relim -
- autoscale -
xlims_changed from (4.6147009455810979, 3650.4430782521085)
to (4.6147009455810979, 3650.4430782521085) <-------- OK, but why?
- draw -
xlims_changed from (8.0705914746898669e-316, 90154482521167872.0)
to (-128.203125, 2829.765625)
xlims_changed from (-128.203125, 2829.765625)
to (4.6147009455810979, 3650.4430782521085)
- DISABLED relim -
- autoscale -
xlims_changed from (4.6147009455810979, 3650.4430782521085)
to (6.7370464889520478e-316, 4.0007331215613123e+18) <---------- wrong!
- draw -
xlims_changed from None
to (-128.203125, 2829.765625)
xlims_changed from (-128.203125, 2829.765625)
to (4.6147009455810979, 3650.4430782521085)
- DISABLED relim -
- DISABLED autoscale -
- draw - <--------------------- and everything is OK
"""
# }}}
def on_xlims_change(self, axes): # {{{
self.xlim = axes.get_xlim() ## FIXME dirty hack: Needs some elegant solution in the future
def on_ylims_change(self, axes):
self.ylim = axes.get_ylim() ## dtto
#print("xlims_changed from ", self.ylim)
#print(" to ", self.ylim)
# }}}
## == FILE AND DATA UTILITIES ==
def row_prop(self, row, prop):# {{{ ## get rid of this
return self.tsFiles.get_value(row, self.treeStoreColumns[prop])
# }}}
def remember_treeView_expanded_rows(self, treeStore, treeView): # {{{
## returns a list of paths of expanded files/directories
def recurse_treestore(treeIter):
while treeIter != None:
if w('treeview1').row_expanded(treeStore.get_path(treeIter)):
expanded_row_names.append(treeStore.get_value(treeIter, 0)) # get the full path of the position
recurse_treestore(treeStore.iter_children(treeIter))
treeIter=treeStore.iter_next(treeIter)
treeIter = treeStore.get_iter_first()
expanded_row_names = [treeStore.get_value(treeIter, 0)] ## remember that also the "root" directory of the view is unpacked
recurse_treestore(treeIter)
return expanded_row_names
# }}}
def remember_treeView_selected_rows(self, treeStore, treeView):# {{{
## returns a list of paths of selected files/directories
(model, selectedPathList) = treeView.get_selection().get_selected_rows()
debug('---PL.remember', selectedPathList)
selected_row_names = []
for treePath in selectedPathList:
debug('SPL', treePath , '------>', treeStore.get_value(treeStore.get_iter(treePath), 0) )
selected_row_names.append(treeStore.get_value(treeStore.get_iter(treePath), 0))
self.selected_row_names = selected_row_names
# }}}
def restore_treeView_expanded_rows(self, expanded_row_names):# {{{
def recursive_expand_rows(treeIter, ):
while treeIter != None:
if self.tsFiles.get_value(treeIter, 0) in expanded_row_names[::-1]:
self.lockTreeViewEvents = True
w('treeview1').expand_row(self.tsFiles.get_path(treeIter), open_all=False)
self.lockTreeViewEvents = False
recursive_expand_rows(self.tsFiles.iter_children(treeIter))
treeIter=self.tsFiles.iter_next(treeIter)
recursive_expand_rows(self.tsFiles.get_iter_first())
# }}}
def restore_treeView_selected_rows(self):# {{{
def recursive_select_rows(treeIter):
while treeIter != None:
#print(' CHECKING SELECTION', self.tsFiles.get_value(treeIter, 0), selected_row_names)
if self.tsFiles.get_value(treeIter, 0) in self.selected_row_names:
self.lockTreeViewEvents = True
debug('SELECTING', self.tsFiles.get_path(treeIter))
w('treeview1').get_selection().select_path(self.tsFiles.get_path(treeIter))
self.lockTreeViewEvents = False
recursive_select_rows(self.tsFiles.iter_children(treeIter))
treeIter=self.tsFiles.iter_next(treeIter)
recursive_select_rows(self.tsFiles.get_iter_first())
self.plot_all_sel_records() # TODO needed here?
# }}}
def on_btn_EditSelFiles_clicked(self, dummy): ## code taken from self.plot_all_sel_records(){{{
(model, pathlist) = w('treeview1').get_selection().get_selected_rows()
if len(pathlist) == 0: return
try:
import subprocess
print(external_editor_command, [self.row_prop(self.tsFiles.get_iter(path), 'filepath') for path in pathlist])
subprocess.Popen(list(external_editor_command) + [self.row_prop(self.tsFiles.get_iter(path), 'filepath') for path in pathlist])
except Exception as e:
print(e)
# }}}
def on_btn_TrashSelFiles_clicked(self, dummy): # {{{
(model, pathlist) = w('treeview1').get_selection().get_selected_rows()
if len(pathlist) == 0: return
#try:
for path in pathlist:
print(self.row_prop(self.tsFiles.get_iter(path), 'filepath'))
filepath = pathlib.Path(self.row_prop(self.tsFiles.get_iter(path), 'filepath'))
print("FP + FPP = ", filepath, filepath.parent ) ## TODO CHECK IF RESOLVES SYMLINKS
trashpath = filepath.parent / 'trash' # do not resolve() - handle symlinks transparently
if trashpath.is_file():
print('cannot make trash directory: such a file exists', trashpath)
continue
trashpath.mkdir(parents=True, exist_ok=True)
try:
filepath.rename(trashpath / filepath.name)
print(f'moved {filepath} to {trashpath / filepath.name}')
except FileNotFoundError: # perhaps multi-column and already removed?
pass