def update_config(self):
self.config = PRACMLNConfig()
self.config["use_emln"] = self.use_emln.get()
self.config['mln'] = self.mln_container.selected_file.get().strip(
).lstrip('*')
self.config['emln'] = self.emln_container.selected_file.get().strip(
).lstrip('*')
self.config["db"] = self.db_container.selected_file.get().strip(
).lstrip('*')
self.config["method"] = InferenceMethods.id(
self.selected_method.get().strip())
self.config["params"] = self.params.get().strip()
self.config["queries"] = self.query.get()
self.config["output_filename"] = self.output_filename.get().strip()
self.config["cw"] = self.closed_world.get()
self.config["cw_preds"] = self.cwPreds.get()
self.config['profile'] = self.profile.get()
self.config['logic'] = self.selected_logic.get()
self.config['grammar'] = self.selected_grammar.get()
self.config['multicore'] = self.multicore.get()
self.config['save'] = self.save.get()
self.config['ignore_unknown_preds'] = self.ignore_unknown_preds.get()
self.config['verbose'] = self.verbose.get()
self.config['window_loc'] = self.master.winfo_geometry()
self.config['dir'] = self.dir
self.project.queryconf = PRACMLNConfig()
self.project.queryconf.update(self.config.config.copy())
def update_config(self):
out('update_config')
self.config = PRACMLNConfig()
self.config['mln'] = self.mln_container.selected_file.get().strip().lstrip('*')
self.config["db"] = self.db_container.selected_file.get().strip().lstrip('*')
self.config["output_filename"] = self.output_filename.get()
self.config["params"] = self.params.get().strip()
self.config["method"] = LearningMethods.id(self.selected_method.get().strip())
self.config["pattern"] = self.pattern.get()
self.config["use_prior"] = int(self.use_prior.get())
self.config["prior_mean"] = self.priorMean.get()
self.config["prior_stdev"] = self.priorStdDev.get()
self.config["incremental"] = int(self.incremental.get())
self.config["shuffle"] = int(self.shuffle.get())
self.config["use_initial_weights"] = int(self.use_initial_weights.get())
self.config["qpreds"] = self.queryPreds.get().strip()
self.config["epreds"] = self.evidencePreds.get().strip()
self.config["discr_preds"] = self.discrPredicates.get()
self.config['logic'] = self.selected_logic.get()
self.config['grammar'] = self.selected_grammar.get()
self.config['multicore'] = self.multicore.get()
self.config['profile'] = self.profile.get()
self.config['verbose'] = self.verbose.get()
self.config['ignore_unknown_preds'] = self.ignore_unknown_preds.get()
self.config['ignore_zero_weight_formulas'] = self.ignore_zero_weight_formulas.get()
self.config['save'] = self.save.get()
self.config["output_filename"] = self.output_filename.get().strip()
self.project.learnconf = PRACMLNConfig()
self.project.learnconf.update(self.config.config.copy())
def main():
logger.level = logs.DEBUG
usage = 'PRACMLN Learning Tool'
parser = argparse.ArgumentParser(description=usage)
parser.add_argument("--run", action="store_true", dest="run", default=False, help="run last configuration without showing gui")
parser.add_argument("-d", "--dir", dest="directory", action='store', help="the directory to start the tool from", metavar="FILE", type=str)
parser.add_argument("-i", "--mln-filename", dest="mlnarg", action='store', help="input MLN filename", metavar="FILE", type=str)
parser.add_argument("-t", "--db-filename", dest="dbarg", action='store', help="training database filename", metavar="FILE", type=str)
parser.add_argument("-o", "--output-file", dest="outputfile", action='store', help="output MLN filename", metavar="FILE", type=str)
args = parser.parse_args()
opts_ = vars(args)
# run learning task/GUI
root = Tk()
conf = PRACMLNConfig(DEFAULT_CONFIG)
app = MLNLearnGUI(root, conf, directory=os.path.abspath(args.directory) if args.directory is not None else None)
if args.run:
logger.debug('running mlnlearn without gui')
app.learn(savegeometry=False, options=opts_)
else:
root.mainloop()
def main():
logger.level = logs.DEBUG
usage = 'PRACMLN Query Tool'
parser = argparse.ArgumentParser(description=usage)
parser.add_argument("-i", "--mln", dest="mlnarg", help="the MLN model file to use")
parser.add_argument("-d", "--dir", dest="directory", action='store', help="the directory to start the tool from", metavar="FILE", type=str)
parser.add_argument("-x", "--emln", dest="emlnarg", help="the MLN model extension file to use")
parser.add_argument("-q", "--queries", dest="queryarg", help="queries (comma-separated)")
parser.add_argument("-e", "--evidence", dest="dbarg", help="the evidence database file")
parser.add_argument("-r", "--results-file", dest="outputfile", help="the results file to save")
parser.add_argument("--run", action="store_true", dest="run", default=False, help="run with last settings (without showing GUI)")
args = parser.parse_args()
opts_ = vars(args)
root = Tk()
conf = PRACMLNConfig(DEFAULT_CONFIG)
app = MLNQueryGUI(root, conf, directory=os.path.abspath(args.directory) if args.directory else None)
if args.run:
logger.debug('running mlnlearn without gui')
app.infer(savegeometry=False, options=opts_)
else:
root.mainloop()
def update_config(self):
out('update_config')
self.config = PRACMLNConfig()
self.config['mln'] = self.mln_container.selected_file.get().strip().lstrip('*')
self.config["db"] = self.db_container.selected_file.get().strip().lstrip('*')
self.config["output_filename"] = self.output_filename.get()
self.config["params"] = self.params.get().strip()
self.config["method"] = LearningMethods.id(self.selected_method.get().strip())
self.config["pattern"] = self.pattern.get()
self.config["use_prior"] = int(self.use_prior.get())
self.config["prior_mean"] = self.priorMean.get()
self.config["prior_stdev"] = self.priorStdDev.get()
self.config["incremental"] = int(self.incremental.get())
self.config["shuffle"] = int(self.shuffle.get())
self.config["use_initial_weights"] = int(self.use_initial_weights.get())
self.config["qpreds"] = self.queryPreds.get().strip()
self.config["epreds"] = self.evidencePreds.get().strip()
self.config["discr_preds"] = self.discrPredicates.get()
self.config['logic'] = self.selected_logic.get()
self.config['grammar'] = self.selected_grammar.get()
self.config['multicore'] = self.multicore.get()
self.config['profile'] = self.profile.get()
self.config['verbose'] = self.verbose.get()
self.config['ignore_unknown_preds'] = self.ignore_unknown_preds.get()
self.config['ignore_zero_weight_formulas'] = self.ignore_zero_weight_formulas.get()
self.config['save'] = self.save.get()
self.config["output_filename"] = self.output_filename.get().strip()
self.project.learnconf = PRACMLNConfig()
self.project.learnconf.update(self.config.config.copy())
def activate_model(self,database, mln):
"""
Returns the learned mln
--Inputs--
database and mln objects in MLN format
"""
DEFAULT_CONFIG = os.path.join(locs.user_data, global_config_filename)
conf = PRACMLNConfig(DEFAULT_CONFIG)
config = {}
config['verbose'] = True
config['discr_preds'] = 0
config['db'] = database
config['mln'] = mln
config['ignore_zero_weight_formulas'] = 1 #0
config['ignore_unknown_preds'] = True #0
config['incremental'] = 1 #0
config['grammar'] = 'PRACGrammar' #StandardGrammar
config['logic'] = 'FirstOrderLogic'
config['method'] = 'BPLL' # BPLL (BPLL, 'pseudo-log-likelihood')
config['optimizer'] = 'bfgs'
config['multicore'] = False
config['profile'] = 0
config['shuffle'] = 0
config['prior_mean'] = 0
config['prior_stdev'] = 10 # 5
config['save'] = True
config['use_initial_weights'] = 0
config['use_prior'] = 0
config['infoInterval'] = 500
config['resultsInterval'] = 1000
conf.update(config)
print('training...')
learn = MLNLearn(conf, mln=mln, db=database)
result = learn.run()
print('finished...')
return result
def activate_model(self, database, mln):
DEFAULT_CONFIG = os.path.join(locs.user_data, global_config_filename)
conf = PRACMLNConfig(DEFAULT_CONFIG)
config = {}
config['verbose'] = True
config['discr_preds'] = 0
config['db'] = database
config['mln'] = mln
config['ignore_zero_weight_formulas'] = 1 # 0
config['ignore_unknown_preds'] = True # 0
config['incremental'] = 1 # 0
config['grammar'] = 'StandardGrammar'
config['logic'] = 'FirstOrderLogic'
config['method'] = 'BPLL' # BPLL
config['multicore'] = False
config['profile'] = 0
config['shuffle'] = 0
config['prior_mean'] = 0
config['prior_stdev'] = 10 # 5
config['save'] = True
config['use_initial_weights'] = 0
config['use_prior'] = 0
# config['output_filename'] = 'learnt.dbpll_cg.student-new-train-student-new-2.mln'
# 亲测无效, 此句没法储存.mln 档案
config['infoInterval'] = 500
config['resultsInterval'] = 1000
conf.update(config)
print('training...')
learn = MLNLearn(conf, mln=mln, db=database)
# learn.output_filename(r'C:\Users\anaconda3 4.2.0\test.mln')
# 亲测无效, 此句没法储存.mln 档案
result = learn.run()
print('finished...')
return result
def update_config(self):
self.config = PRACMLNConfig()
self.config["use_emln"] = self.use_emln.get()
self.config['mln'] = self.mln_container.selected_file.get().strip().lstrip('*')
self.config['emln'] = self.emln_container.selected_file.get().strip().lstrip('*')
self.config["db"] = self.db_container.selected_file.get().strip().lstrip('*')
self.config["method"] = InferenceMethods.id(self.selected_method.get().strip())
self.config["params"] = self.params.get().strip()
self.config["queries"] = self.query.get()
self.config["output_filename"] = self.output_filename.get().strip()
self.config["cw"] = self.closed_world.get()
self.config["cw_preds"] = self.cwPreds.get()
self.config['profile'] = self.profile.get()
self.config['logic'] = self.selected_logic.get()
self.config['grammar'] = self.selected_grammar.get()
self.config['multicore'] = self.multicore.get()
self.config['save'] = self.save.get()
self.config['ignore_unknown_preds'] = self.ignore_unknown_preds.get()
self.config['verbose'] = self.verbose.get()
self.config['window_loc'] = self.master.winfo_geometry()
self.config['dir'] = self.dir
self.project.queryconf = PRACMLNConfig()
self.project.queryconf.update(self.config.config.copy())
class MLNLearnGUI:
def __init__(self, master, gconf, directory=None):
self.master = master
self.initialized = False
self.master.bind('<Return>', self.learn)
self.master.bind('<Escape>', lambda a: self.master.quit())
self.master.protocol('WM_DELETE_WINDOW', self.quit)
# logo = Label(self.master, image=img)
# logo.pack(side = "right", anchor='ne')
self.dir = os.path.abspath(ifnone(directory, ifnone(gconf['prev_learnwts_path'], os.getcwd())))
self.frame = Frame(master)
self.frame.pack(fill=BOTH, expand=1)
self.frame.columnconfigure(1, weight=1)
row = 0
# pracmln project options
Label(self.frame, text='PRACMLN Project: ').grid(row=row, column=0,
sticky='ES')
project_container = Frame(self.frame)
project_container.grid(row=row, column=1, sticky="NEWS")
# new proj file
self.btn_newproj = Button(project_container, text='New Project...',
command=self.new_project)
self.btn_newproj.grid(row=0, column=1, sticky="WS")
# open proj file
self.btn_openproj = Button(project_container, text='Open Project...',
command=self.ask_load_project)
self.btn_openproj.grid(row=0, column=2, sticky="WS")
# save proj file
self.btn_saveproj = Button(project_container, text='Save Project',
command=self.noask_save_project)
self.btn_saveproj.grid(row=0, column=3, sticky="WS")
# save proj file as...
self.btn_saveproj = Button(project_container,
text='Save Project as...',
command=self.ask_save_project)
self.btn_saveproj.grid(row=0, column=4, sticky="WS")
# grammar selection
row += 1
Label(self.frame, text='Grammar: ').grid(row=row, column=0, sticky='E')
grammars = ['StandardGrammar', 'PRACGrammar']
self.selected_grammar = StringVar(master)
self.selected_grammar.trace('w', self.settings_setdirty)
l = OptionMenu(*(self.frame, self.selected_grammar) + tuple(grammars))
l.grid(row=row, column=1, sticky='NWE')
# logic selection
row += 1
Label(self.frame, text='Logic: ').grid(row=row, column=0, sticky='E')
logics = ['FirstOrderLogic', 'FuzzyLogic']
self.selected_logic = StringVar(master)
self.selected_logic.trace('w', self.settings_setdirty)
l = OptionMenu(*(self.frame, self.selected_logic) + tuple(logics))
l.grid(row=row, column=1, sticky='NWE')
# mln section
row += 1
Label(self.frame, text="MLN: ").grid(row=row, column=0, sticky='NE')
self.mln_container = FileEditBar(self.frame, directory=self.dir,
filesettings={'extension': '.mln', 'ftypes': [('MLN files', '.mln')]},
defaultname='*unknown{}',
importhook=self.import_mln,
deletehook=self.delete_mln,
projecthook=self.save_proj,
filecontenthook=self.mlnfilecontent,
fileslisthook=self.mlnfiles,
selectfilehook=self.set_outputfilename,
updatehook=self.update_mln,
onchangehook=self.project_setdirty)
self.mln_container.grid(row=row, column=1, sticky="NEWS")
self.mln_container.editor.bind("<FocusIn>", self._got_focus)
self.mln_container.columnconfigure(1, weight=2)
self.frame.rowconfigure(row, weight=1)
# method selection
row += 1
Label(self.frame, text="Method: ").grid(row=row, column=0, sticky=E)
self.selected_method = StringVar(master)
methodnames = sorted(LearningMethods.names())
self.list_methods = OptionMenu(*(self.frame, self.selected_method) + tuple(methodnames))
self.list_methods.grid(row=row, column=1, sticky="NWE")
self.selected_method.trace("w", self.select_method)
# additional parametrization
row += 1
frame = Frame(self.frame)
frame.grid(row=row, column=1, sticky="NEW")
# use prior
self.use_prior = IntVar()
self.cb_use_prior = Checkbutton(frame, text="use prior with mean of ",
variable=self.use_prior,
command=self.onchange_useprior)
self.cb_use_prior.pack(side=LEFT)
# set prior
self.priorMean = StringVar(master)
self.en_prior_mean = Entry(frame, textvariable=self.priorMean, width=5)
self.en_prior_mean.pack(side=LEFT)
self.priorMean.trace('w', self.settings_setdirty)
Label(frame, text="and std dev of").pack(side=LEFT)
# std. dev.
self.priorStdDev = StringVar(master)
self.en_stdev = Entry(frame, textvariable=self.priorStdDev, width=5)
self.priorStdDev.trace('w', self.settings_setdirty)
self.en_stdev.pack(side=LEFT)
# use initial weights in MLN
self.use_initial_weights = IntVar()
self.cb_use_initial_weights = Checkbutton(frame,
text="use initial weights",
variable=self.use_initial_weights,
command=self.settings_setdirty)
self.cb_use_initial_weights.pack(side=LEFT)
# use incremental learning
self.incremental = IntVar()
self.cb_incremental = Checkbutton(frame, text="learn incrementally",
variable=self.incremental,
command=self.onchange_incremental)
self.cb_incremental.pack(side=LEFT)
# shuffle databases
self.shuffle = IntVar()
self.cb_shuffle = Checkbutton(frame, text="shuffle databases",
variable=self.shuffle, state='disabled')
self.cb_shuffle.pack(side=LEFT)
# discriminative learning settings
row += 1
self.discrPredicates = IntVar()
self.discrPredicates.trace('w', self.change_discr_preds)
self.discrPredicates.set(1)
frame = Frame(self.frame)
frame.grid(row=row, column=1, sticky="NEWS")
self.rbQueryPreds = Radiobutton(frame, text="Query preds:",
variable=self.discrPredicates,
value=QUERY_PREDS)
self.rbQueryPreds.grid(row=0, column=0, sticky="NE")
self.queryPreds = StringVar(master)
frame.columnconfigure(1, weight=1)
self.entry_nePreds = Entry(frame, textvariable=self.queryPreds)
self.entry_nePreds.grid(row=0, column=1, sticky="NEW")
self.rbEvidencePreds = Radiobutton(frame, text='Evidence preds',
variable=self.discrPredicates,
value=EVIDENCE_PREDS)
self.rbEvidencePreds.grid(row=0, column=2, sticky='NEWS')
self.evidencePreds = StringVar(master)
self.entryEvidencePreds = Entry(frame, textvariable=self.evidencePreds)
self.entryEvidencePreds.grid(row=0, column=3, sticky='NEWS')
# db section
row += 1
Label(self.frame, text="Evidence: ").grid(row=row, column=0, sticky='NE')
self.db_container = FileEditBar(self.frame, directory=self.dir,
filesettings={'extension': '.db', 'ftypes': [('Database files', '.db')]},
defaultname='*unknown{}',
importhook=self.import_db,
deletehook=self.delete_db,
projecthook=self.save_proj,
filecontenthook=self.dbfilecontent,
fileslisthook=self.dbfiles,
selectfilehook=self.set_outputfilename,
updatehook=self.update_db,
onchangehook=self.project_setdirty)
self.db_container.grid(row=row, column=1, sticky="NEWS")
self.db_container.editor.bind("<FocusIn>", self._got_focus)
self.db_container.columnconfigure(1, weight=2)
self.frame.rowconfigure(row, weight=1)
# file patterns
row += 1
frame = Frame(self.frame)
frame.grid(row=row, column=1, sticky="NEW")
col = 0
Label(frame, text="OR file pattern:").grid(row=0, column=col, sticky="W")
# - pattern entry
col += 1
frame.columnconfigure(col, weight=1)
self.pattern = StringVar(master)
self.pattern.trace('w', self.onchange_pattern)
self.entry_pattern = Entry(frame, textvariable=self.pattern)
self.entry_pattern.grid(row=0, column=col, sticky="NEW")
# add. parameters
row += 1
Label(self.frame, text="Add. Params: ").grid(row=row, column=0, sticky="E")
self.params = StringVar(master)
Entry(self.frame, textvariable=self.params).grid(row=row, column=1, sticky="NEW")
# options
row += 1
Label(self.frame, text="Options: ").grid(row=row, column=0, sticky="E")
option_container = Frame(self.frame)
option_container.grid(row=row, column=1, sticky="NEWS")
# multicore
self.multicore = IntVar()
self.cb_multicore = Checkbutton(option_container, text="Use all CPUs",
variable=self.multicore,
command=self.settings_setdirty)
self.cb_multicore.grid(row=0, column=1, sticky=E)
# profiling
self.profile = IntVar()
self.cb_profile = Checkbutton(option_container, text='Use Profiler',
variable=self.profile,
command=self.settings_setdirty)
self.cb_profile.grid(row=0, column=3, sticky=W)
# verbose
self.verbose = IntVar()
self.cb_verbose = Checkbutton(option_container, text='verbose',
variable=self.verbose,
command=self.settings_setdirty)
self.cb_verbose.grid(row=0, column=4, sticky=W)
self.ignore_zero_weight_formulas = IntVar()
self.cb_ignore_zero_weight_formulas = Checkbutton(option_container, text='remove 0-weight formulas',
variable=self.ignore_zero_weight_formulas, command=self.settings_setdirty)
self.cb_ignore_zero_weight_formulas.grid(row=0, column=5, sticky=W)
# ignore unknown preds
self.ignore_unknown_preds = IntVar(master)
self.ignore_unknown_preds.trace('w', self.settings_setdirty)
self.cb_ignore_unknown_preds = \
Checkbutton(option_container, text='ignore unkown predicates', variable=self.ignore_unknown_preds)
self.cb_ignore_unknown_preds.grid(row=0, column=6, sticky="W")
row += 1
output_cont = Frame(self.frame)
output_cont.grid(row=row, column=1, sticky='NEWS')
output_cont.columnconfigure(0, weight=1)
Label(self.frame, text="Output: ").grid(row=row, column=0, sticky="E")
self.output_filename = StringVar(master)
self.entry_output_filename = Entry(output_cont, textvariable=self.output_filename)
self.entry_output_filename.grid(row=0, column=0, sticky="EW")
self.save = IntVar(self.master)
self.cb_save = Checkbutton(output_cont, text='save', variable=self.save)
self.cb_save.grid(row=0, column=1, sticky='W')
row += 1
learn_button = Button(self.frame, text=" >> Start Learning << ", command=self.learn)
learn_button.grid(row=row, column=1, sticky="EW")
self.settings_dirty = IntVar()
self.project_dirty = IntVar()
self.gconf = gconf
self.project = None
self.project_dir = os.path.abspath(ifnone(directory, ifnone(gconf['prev_learnwts_path'], os.getcwd())))
if gconf['prev_learnwts_project': self.project_dir] is not None:
self.load_project(os.path.join(self.project_dir, gconf['prev_learnwts_project':self.project_dir]))
else:
self.new_project()
self.config = self.project.learnconf
self.project.addlistener(self.project_setdirty)
self.mln_container.dirty = False
self.db_container.dirty = False
self.project_setdirty(dirty=False)
self.master.geometry(gconf['window_loc_learn'])
self.initialized = True
def _got_focus(self, *_):
if self.master.focus_get() == self.mln_container.editor:
if not self.project.mlns and not self.mln_container.file_buffer:
self.mln_container.new_file()
elif self.master.focus_get() == self.db_container.editor:
if not self.project.dbs and not self.db_container.file_buffer:
self.db_container.new_file()
def quit(self):
if self.settings_dirty.get() or self.project_dirty.get():
savechanges = tkinter.messagebox.askyesnocancel("Save changes", "You have unsaved project changes. Do you want to save them before quitting?")
if savechanges is None:
return
elif savechanges:
self.noask_save_project()
self.master.destroy()
else:
# write gui settings and destroy
self.write_gconfig()
self.master.destroy()
####################### PROJECT FUNCTIONS #################################
def new_project(self):
self.project = MLNProject()
self.project.addlistener(self.project_setdirty)
self.project.name = DEFAULTNAME.format('.pracmln')
self.reset_gui()
self.set_config(self.project.learnconf)
self.mln_container.update_file_choices()
self.db_container.update_file_choices()
self.settings_setdirty()
def project_setdirty(self, dirty=False, *_):
self.project_dirty.set(
dirty or self.mln_container.dirty or self.db_container.dirty)
self.changewindowtitle()
def settings_setdirty(self, *_):
self.settings_dirty.set(1)
self.changewindowtitle()
def changewindowtitle(self):
title = (WINDOWTITLEEDITED if (self.settings_dirty.get() or self.project_dirty.get()) else WINDOWTITLE).format(self.project_dir, self.project.name)
self.master.title(title)
def ask_load_project(self):
filename = askopenfilename(initialdir=self.dir, filetypes=[('PRACMLN project files', '.pracmln')], defaultextension=".pracmln")
if filename and os.path.exists(filename):
self.load_project(filename)
else:
logger.info('No file selected.')
return
def load_project(self, filename):
if filename and os.path.exists(filename):
projdir, _ = ntpath.split(filename)
self.dir = os.path.abspath(projdir)
self.project_dir = os.path.abspath(projdir)
self.project = MLNProject.open(filename)
self.project.addlistener(self.project_setdirty)
self.reset_gui()
self.set_config(self.project.learnconf.config)
self.mln_container.update_file_choices()
self.db_container.update_file_choices()
if len(self.project.mlns) > 0:
self.mln_container.selected_file.set(self.project.learnconf['mln'] or list(self.project.mlns.keys())[0])
self.mln_container.dirty = False
if len(self.project.dbs) > 0:
self.db_container.selected_file.set(self.project.learnconf['db'] or list(self.project.dbs.keys())[0])
self.db_container.dirty = False
self.write_gconfig(savegeometry=False)
self.settings_dirty.set(0)
self.project_setdirty(dirty=False)
self.changewindowtitle()
else:
logger.error(
'File {} does not exist. Creating new project...'.format(
filename))
self.new_project()
def noask_save_project(self):
if self.project.name and not self.project.name == DEFAULTNAME .format('.pracmln'):
self.save_project(
os.path.join(self.project_dir, self.project.name))
else:
self.ask_save_project()
def ask_save_project(self):
fullfilename = asksaveasfilename(initialdir=self.project_dir,
confirmoverwrite=True,
filetypes=[('PRACMLN project files', '.pracmln')],
defaultextension=".pracmln")
self.save_project(fullfilename)
def save_project(self, fullfilename):
if fullfilename:
fpath, fname = ntpath.split(fullfilename)
fname = fname.split('.')[0]
self.project.name = fname
self.dir = os.path.abspath(fpath)
self.project_dir = os.path.abspath(fpath)
self.mln_container.save_all_files()
self.db_container.save_all_files()
self.update_config()
self.project.save(dirpath=self.project_dir)
self.write_gconfig()
self.load_project(fullfilename)
self.settings_dirty.set(0)
def save_proj(self):
self.project.save(dirpath=self.project_dir)
self.write_gconfig()
self.project_setdirty(dirty=False)
####################### MLN FUNCTIONS #####################################
def import_mln(self, name, content):
self.project.add_mln(name, content)
def delete_mln(self, fname):
if fname in self.project.mlns:
self.project.rm_mln(fname)
fnamestr = fname.strip('*')
if fnamestr in self.project.mlns:
self.project.rm_mln(fnamestr)
def update_mln(self, old=None, new=None, content=None, askoverwrite=True):
if old is None:
old = self.mln_container.selected_file.get()
if new is None:
new = self.mln_container.selected_file.get().strip('*')
if content is None:
content = self.mln_container.editor.get("1.0", END).strip()
if old == new and askoverwrite:
savechanges = tkinter.messagebox.askyesno("Save changes",
"A file '{}' already exists. "
"Overwrite?".format(new))
if savechanges:
self.project.mlns[old] = content
else:
logger.error('no name specified!')
return -1
elif old == new and not askoverwrite:
self.project.mlns[old] = content
else:
if new in self.project.mlns:
if askoverwrite:
savechanges = tkinter.messagebox.askyesno("Save changes", "A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.mlns[new] = content
else:
logger.error('no name specified!')
return -1
else:
self.project.mlns[new] = content
return 1
def mlnfiles(self):
return list(self.project.mlns.keys())
def mlnfilecontent(self, filename):
return self.project.mlns.get(filename, '').strip()
# /MLN FUNCTIONS ###################################
####################### DB FUNCTIONS #####################################
def import_db(self, name, content):
self.project.add_db(name, content)
def delete_db(self, fname):
if fname in self.project.dbs:
self.project.rm_db(fname)
fnamestr = fname.strip('*')
if fnamestr in self.project.dbs:
self.project.rm_db(fnamestr)
def update_db(self, old=None, new=None, content=None, askoverwrite=True):
if old is None:
old = self.db_container.selected_file.get()
if new is None:
new = self.db_container.selected_file.get().strip('*')
if content is None:
content = self.db_container.editor.get("1.0", END).strip()
if old == new and askoverwrite:
savechanges = tkinter.messagebox.askyesno("Save changes", "A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.dbs[old] = content
else:
logger.error('no name specified!')
return -1
elif old == new and not askoverwrite:
self.project.dbs[old] = content
else:
if new in self.project.dbs:
if askoverwrite:
savechanges = tkinter.messagebox.askyesno("Save changes", "A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.dbs[new] = content
else:
logger.error('no name specified!')
return -1
else:
self.project.dbs[new] = content
return 1
def dbfiles(self):
return list(self.project.dbs.keys())
def dbfilecontent(self, filename):
return self.project.dbs.get(filename, '').strip()
# /DB FUNCTIONS #####################################
# GENERAL FUNCTIONS #################################
def onchange_incremental(self):
if self.incremental.get() == 1:
self.cb_shuffle.configure(state="normal")
else:
self.cb_shuffle.configure(state="disabled")
self.cb_shuffle.deselect()
self.settings_setdirty()
def onchange_pattern(self, *_):
self.db_container.editor.disable(self.pattern.get())
self.db_container.list_files.config(
state=DISABLED if self.pattern.get() else NORMAL)
self.settings_setdirty()
def onchange_useprior(self, *_):
self.en_prior_mean.configure(
state=NORMAL if self.use_prior.get() else DISABLED)
self.en_stdev.configure(
state=NORMAL if self.use_prior.get() else DISABLED)
self.settings_setdirty()
def isfile(self, f):
return os.path.exists(os.path.join(self.dir, f))
def set_outputfilename(self):
mln = self.mln_container.selected_file.get() or 'unknown.mln'
db = self.db_container.selected_file.get() or 'unknown.db'
if self.selected_method.get():
method = LearningMethods.clazz(self.selected_method.get())
methodid = LearningMethods.id(method)
filename = config.learnwts_output_filename(mln, methodid.lower(), db)
self.output_filename.set(filename)
def select_method(self, *_):
self.change_discr_preds()
self.set_outputfilename()
self.settings_setdirty()
def change_discr_preds(self, *_):
methodname = self.selected_method.get()
if methodname:
method = LearningMethods.clazz(methodname)
state = NORMAL if issubclass(method, DiscriminativeLearner) else DISABLED
self.entry_nePreds.configure(state=state if self.discrPredicates.get() == 0 else DISABLED)
self.entryEvidencePreds.configure(state=state if self.discrPredicates.get() == 1 else DISABLED)
self.rbEvidencePreds.configure(state=state)
self.rbQueryPreds.configure(state=state)
def reset_gui(self):
self.set_config({})
self.db_container.clear()
self.mln_container.clear()
def set_config(self, newconf):
self.config = newconf
self.selected_grammar.set(ifnone(newconf.get('grammar'), 'PRACGrammar'))
self.selected_logic.set(ifnone(newconf.get('logic'), 'FirstOrderLogic'))
self.mln_container.selected_file.set(ifnone(newconf.get('mln'), ''))
self.db_container.selected_file.set(ifnone(newconf.get('db'), ""))
self.selected_method.set(ifnone(newconf.get("method"), LearningMethods.name('BPLL'), transform=LearningMethods.name))
self.pattern.set(ifnone(newconf.get('pattern'), ''))
self.multicore.set(ifnone(newconf.get('multicore'), 0))
self.use_prior.set(ifnone(newconf.get('use_prior'), 0))
self.priorMean.set(ifnone(newconf.get('prior_mean'), 0))
self.priorStdDev.set(ifnone(newconf.get('prior_stdev'), 5))
self.incremental.set(ifnone(newconf.get('incremental'), 0))
self.shuffle.set(ifnone(newconf.get('shuffle'), 0))
self.use_initial_weights.set(ifnone(newconf.get('use_initial_weights'), 0))
self.profile.set(ifnone(newconf.get('profile'), 0))
self.params.set(ifnone(newconf.get('params'), ''))
self.verbose.set(ifnone(newconf.get('verbose'), 1))
self.ignore_unknown_preds.set(ifnone(newconf.get('ignore_unknown_preds'), 0))
self.output_filename.set(ifnone(newconf.get('output_filename'), ''))
self.queryPreds.set(ifnone(newconf.get('qpreds'), ''))
self.evidencePreds.set(ifnone(newconf.get('epreds'), ''))
self.discrPredicates.set(ifnone(newconf.get('discr_preds'), 0))
self.ignore_zero_weight_formulas.set(ifnone(newconf.get('ignore_zero_weight_formulas'), 0))
self.save.set(ifnone(newconf.get('save'), 0))
def get_training_db_paths(self, pattern):
'''
determine training databases(s)
'''
local = False
dbs = []
if pattern is not None and pattern.strip():
fpath, pat = ntpath.split(pattern)
if not os.path.exists(fpath):
logger.debug('{} does not exist. Searching for pattern {} in project {}...'.format(fpath, pat, self.project.name))
local = True
dbs = [db for db in self.project.dbs if fnmatch.fnmatch(db, pattern)]
if len(dbs) == 0:
raise Exception("The pattern '{}' matches no files in your project {}".format(pat, self.project.name))
else:
local = False
patternpath = os.path.join(self.dir, pattern)
d, mask = os.path.split(os.path.abspath(patternpath))
for fname in os.listdir(d):
print(fname)
if fnmatch.fnmatch(fname, mask):
dbs.append(os.path.join(d, fname))
if len(dbs) == 0:
raise Exception("The pattern '%s' matches no files in %s" % (pat, fpath))
logger.debug(
'loading training databases from pattern %s:' % pattern)
for p in dbs: logger.debug(' %s' % p)
if not dbs:
raise Exception("No training data given; A training database must be selected or a pattern must be specified")
else:
return local, dbs
def update_config(self):
out('update_config')
self.config = PRACMLNConfig()
self.config['mln'] = self.mln_container.selected_file.get().strip().lstrip('*')
self.config["db"] = self.db_container.selected_file.get().strip().lstrip('*')
self.config["output_filename"] = self.output_filename.get()
self.config["params"] = self.params.get().strip()
self.config["method"] = LearningMethods.id(self.selected_method.get().strip())
self.config["pattern"] = self.pattern.get()
self.config["use_prior"] = int(self.use_prior.get())
self.config["prior_mean"] = self.priorMean.get()
self.config["prior_stdev"] = self.priorStdDev.get()
self.config["incremental"] = int(self.incremental.get())
self.config["shuffle"] = int(self.shuffle.get())
self.config["use_initial_weights"] = int(self.use_initial_weights.get())
self.config["qpreds"] = self.queryPreds.get().strip()
self.config["epreds"] = self.evidencePreds.get().strip()
self.config["discr_preds"] = self.discrPredicates.get()
self.config['logic'] = self.selected_logic.get()
self.config['grammar'] = self.selected_grammar.get()
self.config['multicore'] = self.multicore.get()
self.config['profile'] = self.profile.get()
self.config['verbose'] = self.verbose.get()
self.config['ignore_unknown_preds'] = self.ignore_unknown_preds.get()
self.config['ignore_zero_weight_formulas'] = self.ignore_zero_weight_formulas.get()
self.config['save'] = self.save.get()
self.config["output_filename"] = self.output_filename.get().strip()
self.project.learnconf = PRACMLNConfig()
self.project.learnconf.update(self.config.config.copy())
def write_gconfig(self, savegeometry=True):
self.gconf['prev_learnwts_path'] = self.project_dir
self.gconf['prev_learnwts_project': self.project_dir] = self.project.name
# save geometry
if savegeometry:
self.gconf['window_loc_learn'] = self.master.geometry()
self.gconf.dump()
def learn(self, savegeometry=True, options=None, *_):
if options is None:
options = {}
mln_content = self.mln_container.editor.get("1.0", END).strip()
db_content = self.db_container.editor.get("1.0", END).strip()
# create conf from current gui settings
self.update_config()
# write gui settings
self.write_gconfig(savegeometry=savegeometry)
# hide gui
self.master.withdraw()
try:
print((headline('PRAC LEARNING TOOL')))
print()
if options.get('mlnarg') is not None:
mlnobj = MLN(mlnfile=os.path.abspath(options.get('mlnarg')),
logic=self.config.get('logic', 'FirstOrderLogic'),
grammar=self.config.get('grammar', 'PRACGrammar'))
else:
mlnobj = parse_mln(mln_content, searchpaths=[self.project_dir],
projectpath=os.path.join(self.project_dir, self.project.name),
logic=self.config.get('logic', 'FirstOrderLogic'),
grammar=self.config.get('grammar', 'PRACGrammar'))
if options.get('dbarg') is not None:
dbobj = Database.load(mlnobj, dbfiles=[options.get('dbarg')], ignore_unknown_preds=self.config.get('ignore_unknown_preds', True))
else:
if self.config.get('pattern'):
local, dblist = self.get_training_db_paths(self.config.get('pattern').strip())
dbobj = []
# build database list from project dbs
if local:
for dbname in dblist:
dbobj.extend(parse_db(mlnobj, self.project.dbs[dbname].strip(),
ignore_unknown_preds=self.config.get('ignore_unknown_preds', True),
projectpath=os.path.join(self.dir, self.project.name)))
out(dbobj)
# build database list from filesystem dbs
else:
for dbpath in dblist:
dbobj.extend(Database.load(mlnobj, dbpath, ignore_unknown_preds= self.config.get('ignore_unknown_preds', True)))
# build single db from currently selected db
else:
dbobj = parse_db(mlnobj, db_content, projectpath=os.path.join(self.dir, self.project.name), dirs=[self.dir])
learning = MLNLearn(config=self.config, mln=mlnobj, db=dbobj)
result = learning.run()
# write to file if run from commandline, otherwise save result
# to project results
if options.get('outputfile') is not None:
output = io.StringIO()
result.write(output)
with open(os.path.abspath(options.get('outputfile')), 'w') as f:
f.write(output.getvalue())
logger.info('saved result to {}'.format(os.path.abspath(options.get('outputfile'))))
elif self.save.get():
output = io.StringIO()
result.write(output)
self.project.add_mln(self.output_filename.get(), output.getvalue())
self.mln_container.update_file_choices()
self.project.save(dirpath=self.project_dir)
logger.info('saved result to file mln/{} in project {}'.format(self.output_filename.get(), self.project.name))
else:
logger.debug("No output file given - results have not been saved.")
except:
traceback.print_exc()
# restore gui
sys.stdout.flush()
self.master.deiconify()
class MLNQueryGUI(object):
def __init__(self, master, gconf, directory=None):
self.master = master
self.initialized = False
self.master.bind('<Return>', self.infer)
self.master.bind('<Escape>', lambda a: self.master.quit())
self.master.protocol('WM_DELETE_WINDOW', self.quit)
self.dir = os.path.abspath(
ifnone(directory, ifnone(gconf['prev_query_path'], os.getcwd())))
self.frame = Frame(master)
self.frame.pack(fill=BOTH, expand=1)
self.frame.columnconfigure(1, weight=1)
row = 0
# pracmln project options
Label(self.frame, text='PRACMLN Project: ').grid(row=row,
column=0,
sticky='ES')
project_container = Frame(self.frame)
project_container.grid(row=row, column=1, sticky="NEWS")
# new proj file
self.btn_newproj = Button(project_container,
text='New Project...',
command=self.new_project)
self.btn_newproj.grid(row=0, column=1, sticky="WS")
# open proj file
self.btn_openproj = Button(project_container,
text='Open Project...',
command=self.ask_load_project)
self.btn_openproj.grid(row=0, column=2, sticky="WS")
# save proj file
self.btn_updateproj = Button(project_container,
text='Save Project...',
command=self.noask_save_project)
self.btn_updateproj.grid(row=0, column=3, sticky="WS")
# save proj file as...
self.btn_saveproj = Button(project_container,
text='Save Project as...',
command=self.ask_save_project)
self.btn_saveproj.grid(row=0, column=4, sticky="WS")
# grammar selection
row += 1
Label(self.frame, text='Grammar: ').grid(row=row, column=0, sticky='E')
grammars = ['StandardGrammar', 'PRACGrammar']
self.selected_grammar = StringVar()
self.selected_grammar.trace('w', self.settings_setdirty)
l = OptionMenu(*(self.frame, self.selected_grammar) + tuple(grammars))
l.grid(row=row, column=1, sticky='NWE')
# logic selection
row += 1
Label(self.frame, text='Logic: ').grid(row=row, column=0, sticky='E')
logics = ['FirstOrderLogic', 'FuzzyLogic']
self.selected_logic = StringVar()
self.selected_logic.trace('w', self.settings_setdirty)
l = OptionMenu(*(self.frame, self.selected_logic) + tuple(logics))
l.grid(row=row, column=1, sticky='NWE')
# mln section
row += 1
Label(self.frame, text="MLN: ").grid(row=row, column=0, sticky='NE')
self.mln_container = FileEditBar(self.frame,
directory=self.dir,
filesettings={
'extension': '.mln',
'ftypes': [('MLN files', '.mln')]
},
defaultname='*unknown{}',
importhook=self.import_mln,
deletehook=self.delete_mln,
projecthook=self.save_proj,
filecontenthook=self.mlnfilecontent,
fileslisthook=self.mlnfiles,
updatehook=self.update_mln,
onchangehook=self.project_setdirty)
self.mln_container.editor.bind("<FocusIn>", self._got_focus)
self.mln_container.grid(row=row, column=1, sticky="NEWS")
self.mln_container.columnconfigure(1, weight=2)
self.frame.rowconfigure(row, weight=1)
row += 1
self.use_emln = IntVar()
self.use_emln.set(0)
self.cb_use_emln = Checkbutton(self.frame,
text="use model extension",
variable=self.use_emln,
command=self.onchange_use_emln)
self.cb_use_emln.grid(row=row, column=1, sticky="W")
# mln extension section
row += 1
self.emlncontainerrow = row
self.emln_label = Label(self.frame, text="EMLN: ")
self.emln_label.grid(row=self.emlncontainerrow, column=0, sticky='NE')
self.emln_container = FileEditBar(self.frame,
directory=self.dir,
filesettings={
'extension':
'.emln',
'ftypes':
[('MLN extension files', '.emln')
]
},
defaultname='*unknown{}',
importhook=self.import_emln,
deletehook=self.delete_emln,
projecthook=self.save_proj,
filecontenthook=self.emlnfilecontent,
fileslisthook=self.emlnfiles,
updatehook=self.update_emln,
onchangehook=self.project_setdirty)
self.emln_container.grid(row=self.emlncontainerrow,
column=1,
sticky="NEWS")
self.emln_container.editor.bind("<FocusIn>", self._got_focus)
self.emln_container.columnconfigure(1, weight=2)
self.onchange_use_emln(dirty=False)
self.frame.rowconfigure(row, weight=1)
# db section
row += 1
Label(self.frame, text="Evidence: ").grid(row=row,
column=0,
sticky='NE')
self.db_container = FileEditBar(self.frame,
directory=self.dir,
filesettings={
'extension': '.db',
'ftypes':
[('Database files', '.db')]
},
defaultname='*unknown{}',
importhook=self.import_db,
deletehook=self.delete_db,
projecthook=self.save_proj,
filecontenthook=self.dbfilecontent,
fileslisthook=self.dbfiles,
updatehook=self.update_db,
onchangehook=self.project_setdirty)
self.db_container.grid(row=row, column=1, sticky="NEWS")
self.db_container.editor.bind("<FocusIn>", self._got_focus)
self.db_container.columnconfigure(1, weight=2)
self.frame.rowconfigure(row, weight=1)
# inference method selection
row += 1
self.list_methods_row = row
Label(self.frame, text="Method: ").grid(row=row, column=0, sticky=E)
self.selected_method = StringVar()
self.selected_method.trace('w', self.select_method)
methodnames = sorted(InferenceMethods.names())
self.list_methods = OptionMenu(*(self.frame, self.selected_method) +
tuple(methodnames))
self.list_methods.grid(row=self.list_methods_row,
column=1,
sticky="NWE")
# options
row += 1
option_container = Frame(self.frame)
option_container.grid(row=row, column=1, sticky="NEWS")
# Multiprocessing
self.multicore = IntVar()
self.cb_multicore = Checkbutton(option_container,
text="Use all CPUs",
variable=self.multicore,
command=self.settings_setdirty)
self.cb_multicore.grid(row=0, column=2, sticky=W)
# profiling
self.profile = IntVar()
self.cb_profile = Checkbutton(option_container,
text='Use Profiler',
variable=self.profile,
command=self.settings_setdirty)
self.cb_profile.grid(row=0, column=3, sticky=W)
# verbose
self.verbose = IntVar()
self.cb_verbose = Checkbutton(option_container,
text='verbose',
variable=self.verbose,
command=self.settings_setdirty)
self.cb_verbose.grid(row=0, column=4, sticky=W)
# options
self.ignore_unknown_preds = IntVar()
self.cb_ignore_unknown_preds = Checkbutton(
option_container,
text='ignore unkown predicates',
variable=self.ignore_unknown_preds,
command=self.settings_setdirty)
self.cb_ignore_unknown_preds.grid(row=0, column=5, sticky="W")
# queries
row += 1
Label(self.frame, text="Queries: ").grid(row=row, column=0, sticky=E)
self.query = StringVar()
self.query.trace('w', self.settings_setdirty)
Entry(self.frame, textvariable=self.query).grid(row=row,
column=1,
sticky="NEW")
# additional parameters
row += 1
Label(self.frame, text="Add. params: ").grid(row=row,
column=0,
sticky="NE")
self.params = StringVar()
self.params.trace('w', self.settings_setdirty)
self.entry_params = Entry(self.frame, textvariable=self.params)
self.entry_params.grid(row=row, column=1, sticky="NEW")
# closed-world predicates
row += 1
Label(self.frame, text="CW preds: ").grid(row=row,
column=0,
sticky="E")
cw_container = Frame(self.frame)
cw_container.grid(row=row, column=1, sticky='NEWS')
cw_container.columnconfigure(0, weight=1)
self.cwPreds = StringVar()
self.cwPreds.trace('w', self.settings_setdirty)
self.entry_cw = Entry(cw_container, textvariable=self.cwPreds)
self.entry_cw.grid(row=0, column=0, sticky="NEWS")
self.closed_world = IntVar()
self.cb_closed_world = Checkbutton(cw_container,
text="CW Assumption",
variable=self.closed_world,
command=self.onchange_cw)
self.cb_closed_world.grid(row=0, column=1, sticky='W')
# output filename
row += 1
output_cont = Frame(self.frame)
output_cont.grid(row=row, column=1, sticky='NEWS')
output_cont.columnconfigure(0, weight=1)
# - filename
Label(self.frame, text="Output: ").grid(row=row, column=0, sticky="NE")
self.output_filename = StringVar()
self.entry_output_filename = Entry(output_cont,
textvariable=self.output_filename)
self.entry_output_filename.grid(row=0, column=0, sticky="NEW")
# - save option
self.save = IntVar()
self.cb_save = Checkbutton(output_cont,
text="save",
variable=self.save)
self.cb_save.grid(row=0, column=1, sticky=W)
# start button
row += 1
start_button = Button(self.frame,
text=">> Start Inference <<",
command=self.infer)
start_button.grid(row=row, column=1, sticky="NEW")
self.settings_dirty = IntVar()
self.project_dirty = IntVar()
self.gconf = gconf
self.project = None
self.project_dir = os.path.abspath(
ifnone(directory, ifnone(gconf['prev_query_path'], os.getcwd())))
if gconf['prev_query_project':self.project_dir] is not None:
self.load_project(
os.path.join(self.project_dir,
gconf['prev_query_project':self.project_dir]))
else:
self.new_project()
self.config = self.project.queryconf
self.project.addlistener(self.project_setdirty)
self.mln_container.dirty = False
self.emln_container.dirty = False
self.db_container.dirty = False
self.project_setdirty(dirty=False)
self.master.geometry(gconf['window_loc_query'])
self.initialized = True
def _got_focus(self, *_):
if self.master.focus_get() == self.mln_container.editor:
if not self.project.mlns and not self.mln_container.file_buffer:
self.mln_container.new_file()
elif self.master.focus_get() == self.db_container.editor:
if not self.project.dbs and not self.db_container.file_buffer:
self.db_container.new_file()
elif self.master.focus_get() == self.emln_container.editor:
if not self.project.emlns and not self.emln_container.file_buffer:
self.emln_container.new_file()
def quit(self):
if self.settings_dirty.get() or self.project_dirty.get():
savechanges = messagebox.askyesnocancel(
"Save changes",
"You have unsaved project changes. Do you want to save them before quitting?"
)
if savechanges is None:
return
elif savechanges:
self.noask_save_project()
self.master.destroy()
else:
# write gui settings and destroy
self.write_gconfig()
self.master.destroy()
####################### PROJECT FUNCTIONS #################################
def new_project(self):
self.project = MLNProject()
self.project.addlistener(self.project_setdirty)
self.project.name = DEFAULTNAME.format('.pracmln')
self.reset_gui()
self.set_config(self.project.queryconf)
self.mln_container.update_file_choices()
self.emln_container.update_file_choices()
self.db_container.update_file_choices()
self.project_setdirty(dirty=True)
def project_setdirty(self, dirty=False, *args):
self.project_dirty.set(dirty or self.mln_container.dirty
or self.db_container.dirty
or self.emln_container.dirty)
self.changewindowtitle()
def settings_setdirty(self, *args):
self.settings_dirty.set(1)
self.changewindowtitle()
def changewindowtitle(self):
title = (WINDOWTITLEEDITED if
(self.settings_dirty.get() or self.project_dirty.get()) else
WINDOWTITLE).format(self.project_dir, self.project.name)
self.master.title(title)
def ask_load_project(self):
filename = askopenfilename(initialdir=self.dir,
filetypes=[('PRACMLN project files',
'.pracmln')],
defaultextension=".pracmln")
if filename and os.path.exists(filename):
self.load_project(filename)
else:
logger.info('No file selected.')
return
def load_project(self, filename):
if filename and os.path.exists(filename):
projdir, _ = ntpath.split(filename)
self.dir = os.path.abspath(projdir)
self.project_dir = os.path.abspath(projdir)
self.project = MLNProject.open(filename)
self.project.addlistener(self.project_setdirty)
self.reset_gui()
self.set_config(self.project.queryconf.config)
self.mln_container.update_file_choices()
self.db_container.update_file_choices()
if len(self.project.mlns) > 0:
self.mln_container.selected_file.set(
self.project.queryconf['mln']
or list(self.project.mlns.keys())[0])
self.mln_container.dirty = False
if len(self.project.emlns) > 0:
self.emln_container.selected_file.set(
self.project.queryconf['emln']
or list(self.project.emlns.keys())[0])
self.emln_container.dirty = False
if len(self.project.dbs) > 0:
self.db_container.selected_file.set(
self.project.queryconf['db']
or list(self.project.dbs.keys())[0])
self.db_container.dirty = False
self.write_gconfig(savegeometry=False)
self.settings_dirty.set(0)
self.project_setdirty(dirty=False)
self.changewindowtitle()
else:
logger.error(
'File {} does not exist. Creating new project...'.format(
filename))
self.new_project()
def noask_save_project(self):
if self.project.name and not self.project.name == DEFAULTNAME.format(
'.pracmln'):
self.save_project(os.path.join(self.project_dir,
self.project.name))
else:
self.ask_save_project()
def ask_save_project(self):
fullfilename = asksaveasfilename(initialdir=self.project_dir,
confirmoverwrite=True,
filetypes=[('PRACMLN project files',
'.pracmln')],
defaultextension=".pracmln")
self.save_project(fullfilename)
def save_project(self, fullfilename):
if fullfilename:
fpath, fname = ntpath.split(fullfilename)
fname = fname.split('.')[0]
self.project.name = fname
self.dir = os.path.abspath(fpath)
self.project_dir = os.path.abspath(fpath)
self.mln_container.save_all_files()
self.emln_container.save_all_files()
self.db_container.save_all_files()
self.update_config()
self.project.save(dirpath=self.project_dir)
self.write_gconfig()
self.load_project(fullfilename)
self.settings_dirty.set(0)
def save_proj(self):
self.project.save(dirpath=self.project_dir)
self.write_gconfig()
self.project_setdirty(dirty=False)
####################### MLN FUNCTIONS #####################################
def import_mln(self, name, content):
self.project.add_mln(name, content)
def delete_mln(self, fname):
if fname in self.project.mlns:
self.project.rm_mln(fname)
fnamestr = fname.strip('*')
if fnamestr in self.project.mlns:
self.project.rm_mln(fnamestr)
def update_mln(self, old=None, new=None, content=None, askoverwrite=True):
if old is None:
old = self.mln_container.selected_file.get()
if new is None:
new = self.mln_container.selected_file.get().strip('*')
if content is None:
content = self.mln_container.editor.get("1.0", END).strip()
if old == new and askoverwrite:
savechanges = messagebox.askyesno(
"Save changes",
"A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.mlns[old] = content
else:
logger.error('no name specified!')
return -1
elif old == new and not askoverwrite:
self.project.mlns[old] = content
else:
if new in self.project.mlns:
if askoverwrite:
savechanges = messagebox.askyesno(
"Save changes",
"A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.mlns[new] = content
else:
logger.error('no name specified!')
return -1
else:
self.project.mlns[new] = content
return 1
def mlnfiles(self):
return list(self.project.mlns.keys())
def mlnfilecontent(self, filename):
return self.project.mlns.get(filename, '').strip()
# /MLN FUNCTIONS #####################################
####################### EMLN FUNCTIONS #####################################
def import_emln(self, name, content):
self.project.add_emln(name, content)
def delete_emln(self, fname):
if fname in self.project.emlns:
self.project.rm_emln(fname)
fnamestr = fname.strip('*')
if fnamestr in self.project.emlns:
self.project.rm_emln(fnamestr)
def update_emln(self, old=None, new=None, content=None, askoverwrite=True):
if old is None:
old = self.emln_container.selected_file.get()
if new is None:
new = self.emln_container.selected_file.get().strip('*')
if content is None:
content = self.emln_container.editor.get("1.0", END).strip()
if old == new and askoverwrite:
savechanges = messagebox.askyesno(
"Save changes",
"A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.emlns[old] = content
else:
logger.error('no name specified!')
return -1
elif old == new and not askoverwrite:
self.project.emlns[old] = content
else:
if new in self.project.emlns:
if askoverwrite:
savechanges = messagebox.askyesno(
"Save changes",
"A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.emlns[new] = content
else:
logger.error('no name specified!')
return -1
else:
self.project.emlns[new] = content
return 1
def emlnfiles(self):
return list(self.project.emlns.keys())
def emlnfilecontent(self, filename):
return self.project.emlns.get(filename, '').strip()
# /EMLN FUNCTIONS #####################################
# DB FUNCTIONS #####################################
def import_db(self, name, content):
self.project.add_db(name, content)
def delete_db(self, fname):
if fname in self.project.dbs:
self.project.rm_db(fname)
fnamestr = fname.strip('*')
if fnamestr in self.project.dbs:
self.project.rm_db(fnamestr)
def update_db(self, old=None, new=None, content=None, askoverwrite=True):
if old is None:
old = self.db_container.selected_file.get()
if new is None:
new = self.db_container.selected_file.get().strip('*')
if content is None:
content = self.db_container.editor.get("1.0", END).strip()
if old == new and askoverwrite:
savechanges = messagebox.askyesno(
"Save changes",
"A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.dbs[old] = content
else:
logger.error('no name specified!')
return -1
elif old == new and not askoverwrite:
self.project.dbs[old] = content
else:
if new in self.project.dbs:
if askoverwrite:
savechanges = messagebox.askyesno(
"Save changes",
"A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.dbs[new] = content
else:
logger.error('no name specified!')
return -1
else:
self.project.dbs[new] = content
return 1
def dbfiles(self):
return list(self.project.dbs.keys())
def dbfilecontent(self, filename):
return self.project.dbs.get(filename, '').strip()
# /DB FUNCTIONS #####################################
# GENERAL FUNCTIONS #################################
def select_method(self, *args):
self.set_outputfilename()
self.settings_setdirty()
def onchange_use_emln(self, dirty=True, *args):
if not self.use_emln.get():
self.emln_label.grid_forget()
self.emln_container.grid_forget()
else:
self.emln_label.grid(row=self.emlncontainerrow,
column=0,
sticky="NE")
self.emln_container.grid(row=self.emlncontainerrow,
column=1,
sticky="NWES")
if dirty:
self.settings_setdirty()
def onchange_cw(self, *args):
if self.closed_world.get():
self.entry_cw.configure(state=DISABLED)
else:
self.entry_cw.configure(state=NORMAL)
self.settings_setdirty()
def reset_gui(self):
self.set_config({})
self.db_container.clear()
self.emln_container.clear()
self.mln_container.clear()
def set_config(self, newconf):
self.config = newconf
self.selected_grammar.set(ifnone(newconf.get('grammar'),
'PRACGrammar'))
self.selected_logic.set(ifnone(newconf.get('logic'),
'FirstOrderLogic'))
self.mln_container.selected_file.set(ifnone(newconf.get('mln'), ''))
if self.use_emln.get():
self.emln_container.selected_file.set(
ifnone(newconf.get('mln'), ''))
self.db_container.selected_file.set(ifnone(newconf.get('db'), ""))
self.selected_method.set(
ifnone(newconf.get("method"),
InferenceMethods.name('MCSAT'),
transform=InferenceMethods.name))
self.multicore.set(ifnone(newconf.get('multicore'), 0))
self.profile.set(ifnone(newconf.get('profile'), 0))
self.params.set(ifnone(newconf.get('params'), ''))
self.use_emln.set(ifnone(newconf.get('use_emln'), 0))
self.verbose.set(ifnone(newconf.get('verbose'), 1))
self.ignore_unknown_preds.set(
ifnone(newconf.get('ignore_unknown_preds'), 0))
self.output_filename.set(ifnone(newconf.get('output_filename'), ''))
self.cwPreds.set(ifnone(newconf.get('cw_preds'), ''))
self.closed_world.set(ifnone(newconf.get('cw'), 0))
self.save.set(ifnone(newconf.get('save'), 0))
self.query.set(ifnone(newconf.get('queries'), ''))
self.onchange_cw()
def set_outputfilename(self):
if not hasattr(self, "output_filename") or not hasattr(
self, "db_filename") or not hasattr(self, "mln_filename"):
return
mln = self.mln_container.selected_file.get()
db = self.db_container.selected_file.get()
if "" in (mln, db):
return
if self.selected_method.get():
method = InferenceMethods.clazz(self.selected_method.get())
methodid = InferenceMethods.id(method)
filename = config.query_output_filename(mln, methodid, db)
self.output_filename.set(filename)
def update_config(self):
self.config = PRACMLNConfig()
self.config["use_emln"] = self.use_emln.get()
self.config['mln'] = self.mln_container.selected_file.get().strip(
).lstrip('*')
self.config['emln'] = self.emln_container.selected_file.get().strip(
).lstrip('*')
self.config["db"] = self.db_container.selected_file.get().strip(
).lstrip('*')
self.config["method"] = InferenceMethods.id(
self.selected_method.get().strip())
self.config["params"] = self.params.get().strip()
self.config["queries"] = self.query.get()
self.config["output_filename"] = self.output_filename.get().strip()
self.config["cw"] = self.closed_world.get()
self.config["cw_preds"] = self.cwPreds.get()
self.config['profile'] = self.profile.get()
self.config['logic'] = self.selected_logic.get()
self.config['grammar'] = self.selected_grammar.get()
self.config['multicore'] = self.multicore.get()
self.config['save'] = self.save.get()
self.config['ignore_unknown_preds'] = self.ignore_unknown_preds.get()
self.config['verbose'] = self.verbose.get()
self.config['window_loc'] = self.master.winfo_geometry()
self.config['dir'] = self.dir
self.project.queryconf = PRACMLNConfig()
self.project.queryconf.update(self.config.config.copy())
def write_gconfig(self, savegeometry=True):
self.gconf['prev_query_path'] = self.dir
self.gconf['prev_query_project':self.dir] = self.project.name
# save geometry
if savegeometry:
self.gconf['window_loc_query'] = self.master.geometry()
self.gconf.dump()
def infer(self, savegeometry=True, options={}, *args):
mln_content = self.mln_container.editor.get("1.0", END).strip()
db_content = self.db_container.editor.get("1.0", END).strip()
# create conf from current gui settings
self.update_config()
# write gui settings
self.write_gconfig(savegeometry=savegeometry)
# hide gui
self.master.withdraw()
try:
print((headline('PRACMLN QUERY TOOL')))
print()
if options.get('mlnarg') is not None:
mlnobj = MLN(mlnfile=os.path.abspath(options.get('mlnarg')),
logic=self.config.get('logic', 'FirstOrderLogic'),
grammar=self.config.get('grammar', 'PRACGrammar'))
else:
mlnobj = parse_mln(
mln_content,
searchpaths=[self.dir],
projectpath=os.path.join(self.dir, self.project.name),
logic=self.config.get('logic', 'FirstOrderLogic'),
grammar=self.config.get('grammar', 'PRACGrammar'))
if options.get('emlnarg') is not None:
emln_content = mlnpath(options.get('emlnarg')).content
else:
emln_content = self.emln_container.editor.get("1.0",
END).strip()
if options.get('dbarg') is not None:
dbobj = Database.load(mlnobj,
dbfiles=[options.get('dbarg')],
ignore_unknown_preds=self.config.get(
'ignore_unknown_preds', True))
else:
out(self.config.get('ignore_unknown_preds', True))
dbobj = parse_db(mlnobj,
db_content,
ignore_unknown_preds=self.config.get(
'ignore_unknown_preds', True))
if options.get('queryarg') is not None:
self.config["queries"] = options.get('queryarg')
infer = MLNQuery(config=self.config,
mln=mlnobj,
db=dbobj,
emln=emln_content)
result = infer.run()
# write to file if run from commandline, otherwise save result to project results
if options.get('outputfile') is not None:
output = io.StringIO()
result.write(output)
with open(os.path.abspath(options.get('outputfile')),
'w') as f:
f.write(output.getvalue())
logger.info('saved result to {}'.format(
os.path.abspath(options.get('outputfile'))))
elif self.save.get():
output = io.StringIO()
result.write(output)
fname = self.output_filename.get()
self.project.add_result(fname, output.getvalue())
self.project.save(dirpath=self.dir)
logger.info(
'saved result to file results/{} in project {}'.format(
fname, self.project.name))
else:
logger.debug(
'No output file given - results have not been saved.')
except:
traceback.print_exc()
# restore main window
sys.stdout.flush()
self.master.deiconify()
class MLNLearnGUI:
def __init__(self, master, gconf, directory=None):
self.master = master
# icon = Tkinter.Image("photo", file=os.path.join(PRACMLN_HOME,
# 'doc',
# '_static',
# 'favicon.ico'))
# self.master.tk.call('wm', 'iconphoto', self.master._w, icon)
self.initialized = False
self.master.bind('<Return>', self.learn)
self.master.bind('<Escape>', lambda a: self.master.quit())
self.master.protocol('WM_DELETE_WINDOW', self.quit)
# logo = Label(self.master, image=img)
# logo.pack(side = "right", anchor='ne')
self.dir = os.path.abspath(ifNone(directory, ifNone(gconf['prev_learnwts_path'], os.getcwd())))
self.frame = Frame(master)
self.frame.pack(fill=BOTH, expand=1)
self.frame.columnconfigure(1, weight=1)
row = 0
# pracmln project options
Label(self.frame, text='PRACMLN Project: ').grid(row=row, column=0,
sticky='ES')
project_container = Frame(self.frame)
project_container.grid(row=row, column=1, sticky="NEWS")
# new proj file
self.btn_newproj = Button(project_container, text='New Project...',
command=self.new_project)
self.btn_newproj.grid(row=0, column=1, sticky="WS")
# open proj file
self.btn_openproj = Button(project_container, text='Open Project...',
command=self.ask_load_project)
self.btn_openproj.grid(row=0, column=2, sticky="WS")
# save proj file
self.btn_saveproj = Button(project_container, text='Save Project',
command=self.noask_save_project)
self.btn_saveproj.grid(row=0, column=3, sticky="WS")
# save proj file as...
self.btn_saveproj = Button(project_container,
text='Save Project as...',
command=self.ask_save_project)
self.btn_saveproj.grid(row=0, column=4, sticky="WS")
# grammar selection
row += 1
Label(self.frame, text='Grammar: ').grid(row=row, column=0, sticky='E')
grammars = ['StandardGrammar', 'PRACGrammar']
self.selected_grammar = StringVar(master)
self.selected_grammar.trace('w', self.settings_setdirty)
l = apply(OptionMenu,
(self.frame, self.selected_grammar) + tuple(grammars))
l.grid(row=row, column=1, sticky='NWE')
# logic selection
row += 1
Label(self.frame, text='Logic: ').grid(row=row, column=0, sticky='E')
logics = ['FirstOrderLogic', 'FuzzyLogic']
self.selected_logic = StringVar(master)
self.selected_logic.trace('w', self.settings_setdirty)
l = apply(OptionMenu,
(self.frame, self.selected_logic) + tuple(logics))
l.grid(row=row, column=1, sticky='NWE')
# mln section
row += 1
Label(self.frame, text="MLN: ").grid(row=row, column=0, sticky='NE')
self.mln_container = FileEditBar(self.frame, dir=self.dir,
filesettings={'extension': '.mln', 'ftypes': [('MLN files', '.mln')]},
defaultname='*unknown{}',
importhook=self.import_mln,
deletehook=self.delete_mln,
projecthook=self.save_proj,
filecontenthook=self.mlnfilecontent,
fileslisthook=self.mlnfiles,
updatehook=self.update_mln,
onchangehook=self.project_setdirty)
self.mln_container.grid(row=row, column=1, sticky="NEWS")
self.mln_container.columnconfigure(1, weight=2)
self.frame.rowconfigure(row, weight=1)
# method selection
row += 1
Label(self.frame, text="Method: ").grid(row=row, column=0, sticky=E)
self.selected_method = StringVar(master)
methodnames = sorted(LearningMethods.names())
self.list_methods = apply(OptionMenu, (self.frame, self.selected_method) + tuple(methodnames))
self.list_methods.grid(row=row, column=1, sticky="NWE")
self.selected_method.trace("w", self.select_method)
# additional parametrization
row += 1
frame = Frame(self.frame)
frame.grid(row=row, column=1, sticky="NEW")
# use prior
self.use_prior = IntVar()
self.cb_use_prior = Checkbutton(frame, text="use prior with mean of ",
variable=self.use_prior,
command=self.onchange_useprior)
self.cb_use_prior.pack(side=LEFT)
# set prior
self.priorMean = StringVar(master)
self.en_prior_mean = Entry(frame, textvariable=self.priorMean, width=5)
self.en_prior_mean.pack(side=LEFT)
self.priorMean.trace('w', self.settings_setdirty)
Label(frame, text="and std dev of").pack(side=LEFT)
# std. dev.
self.priorStdDev = StringVar(master)
self.en_stdev = Entry(frame, textvariable=self.priorStdDev, width=5)
self.priorStdDev.trace('w', self.settings_setdirty)
self.en_stdev.pack(side=LEFT)
# use initial weights in MLN
self.use_initial_weights = IntVar()
self.cb_use_initial_weights = Checkbutton(frame,
text="use initial weights",
variable=self.use_initial_weights,
command=self.settings_setdirty)
self.cb_use_initial_weights.pack(side=LEFT)
# use incremental learning
self.incremental = IntVar()
self.cb_incremental = Checkbutton(frame, text="learn incrementally",
variable=self.incremental,
command=self.onchange_incremental)
self.cb_incremental.pack(side=LEFT)
# shuffle databases
self.shuffle = IntVar()
self.cb_shuffle = Checkbutton(frame, text="shuffle databases",
variable=self.shuffle, state='disabled')
self.cb_shuffle.pack(side=LEFT)
# discriminative learning settings
row += 1
self.discrPredicates = IntVar()
self.discrPredicates.trace('w', self.change_discr_preds)
self.discrPredicates.set(1)
frame = Frame(self.frame)
frame.grid(row=row, column=1, sticky="NEWS")
self.rbQueryPreds = Radiobutton(frame, text="Query preds:",
variable=self.discrPredicates,
value=QUERY_PREDS)
self.rbQueryPreds.grid(row=0, column=0, sticky="NE")
self.queryPreds = StringVar(master)
frame.columnconfigure(1, weight=1)
self.entry_nePreds = Entry(frame, textvariable=self.queryPreds)
self.entry_nePreds.grid(row=0, column=1, sticky="NEW")
self.rbEvidencePreds = Radiobutton(frame, text='Evidence preds',
variable=self.discrPredicates,
value=EVIDENCE_PREDS)
self.rbEvidencePreds.grid(row=0, column=2, sticky='NEWS')
self.evidencePreds = StringVar(master)
self.entryEvidencePreds = Entry(frame, textvariable=self.evidencePreds)
self.entryEvidencePreds.grid(row=0, column=3, sticky='NEWS')
# db section
row += 1
Label(self.frame, text="Evidence: ").grid(row=row, column=0, sticky='NE')
self.db_container = FileEditBar(self.frame, dir=self.dir,
filesettings={'extension': '.db', 'ftypes': [('Database files', '.db')]},
defaultname='*unknown{}',
importhook=self.import_db,
deletehook=self.delete_db,
projecthook=self.save_proj,
filecontenthook=self.dbfilecontent,
fileslisthook=self.dbfiles,
updatehook=self.update_db,
onchangehook=self.project_setdirty)
self.db_container.grid(row=row, column=1, sticky="NEWS")
self.db_container.columnconfigure(1, weight=2)
self.frame.rowconfigure(row, weight=1)
# file patterns
row += 1
frame = Frame(self.frame)
frame.grid(row=row, column=1, sticky="NEW")
col = 0
Label(frame, text="OR file pattern:").grid(row=0, column=col, sticky="W")
# - pattern entry
col += 1
frame.columnconfigure(col, weight=1)
self.pattern = StringVar(master)
self.pattern.trace('w', self.onchange_pattern)
self.entry_pattern = Entry(frame, textvariable=self.pattern)
self.entry_pattern.grid(row=0, column=col, sticky="NEW")
# add. parameters
row += 1
Label(self.frame, text="Add. Params: ").grid(row=row, column=0, sticky="E")
self.params = StringVar(master)
Entry(self.frame, textvariable=self.params).grid(row=row, column=1, sticky="NEW")
# options
row += 1
Label(self.frame, text="Options: ").grid(row=row, column=0, sticky="E")
option_container = Frame(self.frame)
option_container.grid(row=row, column=1, sticky="NEWS")
# multicore
self.multicore = IntVar()
self.cb_multicore = Checkbutton(option_container, text="Use all CPUs",
variable=self.multicore,
command=self.settings_setdirty)
self.cb_multicore.grid(row=0, column=1, sticky=E)
# profiling
self.profile = IntVar()
self.cb_profile = Checkbutton(option_container, text='Use Profiler',
variable=self.profile,
command=self.settings_setdirty)
self.cb_profile.grid(row=0, column=3, sticky=W)
# verbose
self.verbose = IntVar()
self.cb_verbose = Checkbutton(option_container, text='verbose',
variable=self.verbose,
command=self.settings_setdirty)
self.cb_verbose.grid(row=0, column=4, sticky=W)
self.ignore_zero_weight_formulas = IntVar()
self.cb_ignore_zero_weight_formulas = Checkbutton(option_container, text='remove 0-weight formulas',
variable=self.ignore_zero_weight_formulas, command=self.settings_setdirty)
self.cb_ignore_zero_weight_formulas.grid(row=0, column=5, sticky=W)
# ignore unknown preds
self.ignore_unknown_preds = IntVar(master)
self.ignore_unknown_preds.trace('w', self.settings_setdirty)
self.cb_ignore_unknown_preds = \
Checkbutton(option_container, text='ignore unkown predicates', variable=self.ignore_unknown_preds)
self.cb_ignore_unknown_preds.grid(row=0, column=6, sticky="W")
row += 1
output_cont = Frame(self.frame)
output_cont.grid(row=row, column=1, sticky='NEWS')
output_cont.columnconfigure(0, weight=1)
Label(self.frame, text="Output: ").grid(row=row, column=0, sticky="E")
self.output_filename = StringVar(master)
self.entry_output_filename = Entry(output_cont, textvariable=self.output_filename)
self.entry_output_filename.grid(row=0, column=0, sticky="EW")
self.save = IntVar(self.master)
self.cb_save = Checkbutton(output_cont, text='save', variable=self.save)
self.cb_save.grid(row=0, column=1, sticky='W')
row += 1
learn_button = Button(self.frame, text=" >> Start Learning << ", command=self.learn)
learn_button.grid(row=row, column=1, sticky="EW")
self.settings_dirty = IntVar()
self.project_dirty = IntVar()
self.gconf = gconf
self.project = None
self.project_dir = os.path.abspath(ifNone(directory, ifNone(gconf['prev_learnwts_path'], os.getcwd())))
if gconf['prev_learnwts_project': self.project_dir] is not None:
self.load_project(os.path.join(self.project_dir, gconf['prev_learnwts_project':self.project_dir]))
else:
self.new_project()
self.config = self.project.learnconf
self.project.addlistener(self.project_setdirty)
self.mln_container.dirty = False
self.db_container.dirty = False
self.project_setdirty(dirty=False)
self.master.geometry(gconf['window_loc_learn'])
self.initialized = True
def quit(self):
if self.settings_dirty.get() or self.project_dirty.get():
savechanges = tkMessageBox.askyesnocancel("Save changes", "You have unsaved project changes. Do you want to save them before quitting?")
if savechanges is None:
return
elif savechanges:
self.noask_save_project()
self.master.destroy()
else:
# write gui settings and destroy
self.write_gconfig()
self.master.destroy()
####################### PROJECT FUNCTIONS #################################
def new_project(self):
self.project = MLNProject()
self.project.addlistener(self.project_setdirty)
self.project.name = DEFAULTNAME.format('.pracmln')
self.reset_gui()
self.set_config(self.project.learnconf)
self.mln_container.update_file_choices()
self.db_container.update_file_choices()
self.settings_setdirty()
def project_setdirty(self, dirty=False, *args):
self.project_dirty.set(
dirty or self.mln_container.dirty or self.db_container.dirty)
self.changewindowtitle()
def settings_setdirty(self, *args):
self.settings_dirty.set(1)
self.changewindowtitle()
def changewindowtitle(self):
title = (WINDOWTITLEEDITED if (self.settings_dirty.get() or self.project_dirty.get()) else WINDOWTITLE).format(self.project_dir, self.project.name)
self.master.title(title)
def ask_load_project(self):
filename = askopenfilename(initialdir=self.dir, filetypes=[('PRACMLN project files', '.pracmln')], defaultextension=".pracmln")
if filename and os.path.exists(filename):
self.load_project(filename)
else:
logger.info('No file selected.')
return
def load_project(self, filename):
if filename and os.path.exists(filename):
projdir, _ = ntpath.split(filename)
self.dir = os.path.abspath(projdir)
self.project_dir = os.path.abspath(projdir)
self.project = MLNProject.open(filename)
self.project.addlistener(self.project_setdirty)
self.reset_gui()
self.set_config(self.project.learnconf.config)
self.mln_container.update_file_choices()
self.db_container.update_file_choices()
if len(self.project.mlns) > 0:
self.mln_container.selected_file.set(self.project.learnconf['mln'] or self.project.mlns.keys()[0])
self.mln_container.dirty = False
if len(self.project.dbs) > 0:
self.db_container.selected_file.set(self.project.learnconf['db'] or self.project.dbs.keys()[0])
self.db_container.dirty = False
self.write_gconfig(savegeometry=False)
self.settings_dirty.set(0)
self.project_setdirty(dirty=False)
self.changewindowtitle()
else:
logger.error(
'File {} does not exist. Creating new project...'.format(
filename))
self.new_project()
def noask_save_project(self):
if self.project.name and not self.project.name == DEFAULTNAME .format('.pracmln'):
self.save_project(
os.path.join(self.project_dir, self.project.name))
else:
self.ask_save_project()
def ask_save_project(self):
fullfilename = asksaveasfilename(initialdir=self.project_dir,
confirmoverwrite=True,
filetypes=[('PRACMLN project files', '.pracmln')],
defaultextension=".pracmln")
self.save_project(fullfilename)
def save_project(self, fullfilename):
if fullfilename:
fpath, fname = ntpath.split(fullfilename)
fname = fname.split('.')[0]
self.project.name = fname
self.dir = os.path.abspath(fpath)
self.project_dir = os.path.abspath(fpath)
self.mln_container.save_all_files()
self.db_container.save_all_files()
self.update_config()
self.project.save(dirpath=self.project_dir)
self.write_gconfig()
self.load_project(fullfilename)
self.settings_dirty.set(0)
def save_proj(self):
self.project.save(dirpath=self.project_dir)
self.write_gconfig()
self.project_setdirty(dirty=False)
####################### MLN FUNCTIONS #####################################
def import_mln(self, name, content):
self.project.add_mln(name, content)
def delete_mln(self, fname):
if fname in self.project.mlns:
self.project.rm_mln(fname)
fnamestr = fname.strip('*')
if fnamestr in self.project.mlns:
self.project.rm_mln(fnamestr)
def update_mln(self, old=None, new=None, content=None, askoverwrite=True):
if old is None:
old = self.mln_container.selected_file.get()
if new is None:
new = self.mln_container.selected_file.get().strip('*')
if content is None:
content = self.mln_container.editor.get("1.0", END).strip()
if old == new and askoverwrite:
savechanges = tkMessageBox.askyesno("Save changes",
"A file '{}' already exists. "
"Overwrite?".format(new))
if savechanges:
self.project.mlns[old] = content
else:
logger.error('no name specified!')
return -1
elif old == new and not askoverwrite:
self.project.mlns[old] = content
else:
if new in self.project.mlns:
if askoverwrite:
savechanges = tkMessageBox.askyesno("Save changes", "A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.mlns[new] = content
else:
logger.error('no name specified!')
return -1
else:
self.project.mlns[new] = content
return 1
def mlnfiles(self):
return self.project.mlns.keys()
def mlnfilecontent(self, filename):
return self.project.mlns.get(filename, '').strip()
# /MLN FUNCTIONS ###################################
####################### DB FUNCTIONS #####################################
def import_db(self, name, content):
self.project.add_db(name, content)
def delete_db(self, fname):
if fname in self.project.dbs:
self.project.rm_db(fname)
fnamestr = fname.strip('*')
if fnamestr in self.project.dbs:
self.project.rm_db(fnamestr)
def update_db(self, old=None, new=None, content=None, askoverwrite=True):
if old is None:
old = self.db_container.selected_file.get()
if new is None:
new = self.db_container.selected_file.get().strip('*')
if content is None:
content = self.db_container.editor.get("1.0", END).strip()
if old == new and askoverwrite:
savechanges = tkMessageBox.askyesno("Save changes", "A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.dbs[old] = content
else:
logger.error('no name specified!')
return -1
elif old == new and not askoverwrite:
self.project.dbs[old] = content
else:
if new in self.project.dbs:
if askoverwrite:
savechanges = tkMessageBox.askyesno("Save changes", "A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.dbs[new] = content
else:
logger.error('no name specified!')
return -1
else:
self.project.dbs[new] = content
return 1
def dbfiles(self):
return self.project.dbs.keys()
def dbfilecontent(self, filename):
return self.project.dbs.get(filename, '').strip()
# /DB FUNCTIONS #####################################
# GENERAL FUNCTIONS #################################
def onchange_incremental(self):
if self.incremental.get() == 1:
self.cb_shuffle.configure(state="normal")
else:
self.cb_shuffle.configure(state="disabled")
self.cb_shuffle.deselect()
self.settings_setdirty()
def onchange_pattern(self, *args):
self.db_container.editor.disable(self.pattern.get())
self.db_container.list_files.config(
state=DISABLED if self.pattern.get() else NORMAL)
self.settings_setdirty()
def onchange_useprior(self, *args):
self.en_prior_mean.configure(
state=NORMAL if self.use_prior.get() else DISABLED)
self.en_stdev.configure(
state=NORMAL if self.use_prior.get() else DISABLED)
self.settings_setdirty()
def isfile(self, f):
return os.path.exists(os.path.join(self.dir, f))
def set_outputfilename(self):
if not hasattr(self, "output_filename") or not hasattr(self, "db_filename") or not hasattr(self, "mln_filename"):
return
mln = self.mln_container.selected_file.get()
db = self.db_container.selected_file.get()
if "" in (mln, db):
return
if self.selected_method.get():
method = LearningMethods.clazz(self.selected_method.get())
methodid = LearningMethods.id(method)
filename = config.learnwts_output_filename(mln, methodid.lower(), db)
self.output_filename.set(filename)
def select_method(self, *args):
self.change_discr_preds()
self.set_outputfilename()
self.settings_setdirty()
def change_discr_preds(self, *args):
methodname = self.selected_method.get()
if methodname:
method = LearningMethods.clazz(methodname)
state = NORMAL if issubclass(method, DiscriminativeLearner) else DISABLED
self.entry_nePreds.configure(state=state if self.discrPredicates.get() == 0 else DISABLED)
self.entryEvidencePreds.configure(state=state if self.discrPredicates.get() == 1 else DISABLED)
self.rbEvidencePreds.configure(state=state)
self.rbQueryPreds.configure(state=state)
def reset_gui(self):
self.set_config({})
self.db_container.clear()
self.mln_container.clear()
def set_config(self, newconf):
self.config = newconf
self.selected_grammar.set(ifNone(newconf.get('grammar'), 'PRACGrammar'))
self.selected_logic.set(ifNone(newconf.get('logic'), 'FirstOrderLogic'))
self.mln_container.selected_file.set(ifNone(newconf.get('mln'), ''))
self.db_container.selected_file.set(ifNone(newconf.get('db'), ""))
self.selected_method.set(ifNone(newconf.get("method"), LearningMethods.name('BPLL'), transform=LearningMethods.name))
self.pattern.set(ifNone(newconf.get('pattern'), ''))
self.multicore.set(ifNone(newconf.get('multicore'), 0))
self.use_prior.set(ifNone(newconf.get('use_prior'), 0))
self.priorMean.set(ifNone(newconf.get('prior_mean'), 0))
self.priorStdDev.set(ifNone(newconf.get('prior_stdev'), 5))
self.incremental.set(ifNone(newconf.get('incremental'), 0))
self.shuffle.set(ifNone(newconf.get('shuffle'), 0))
self.use_initial_weights.set(ifNone(newconf.get('use_initial_weights'), 0))
self.profile.set(ifNone(newconf.get('profile'), 0))
self.params.set(ifNone(newconf.get('params'), ''))
self.verbose.set(ifNone(newconf.get('verbose'), 1))
self.ignore_unknown_preds.set(ifNone(newconf.get('ignore_unknown_preds'), 0))
self.output_filename.set(ifNone(newconf.get('output_filename'), ''))
self.queryPreds.set(ifNone(newconf.get('qpreds'), ''))
self.evidencePreds.set(ifNone(newconf.get('epreds'), ''))
self.discrPredicates.set(ifNone(newconf.get('discr_preds'), 0))
self.ignore_zero_weight_formulas.set(ifNone(newconf.get('ignore_zero_weight_formulas'), 0))
self.save.set(ifNone(newconf.get('save'), 0))
def get_training_db_paths(self, pattern):
'''
determine training databases(s)
'''
local = False
dbs = []
if pattern is not None and pattern.strip():
fpath, pat = ntpath.split(pattern)
if not os.path.exists(fpath):
logger.debug('{} does not exist. Searching for pattern {} in project {}...'.format(fpath, pat, self.project.name))
local = True
dbs = [db for db in self.project.dbs if fnmatch.fnmatch(db, pattern)]
if len(dbs) == 0:
raise Exception("The pattern '{}' matches no files in your project {}".format(pat, self.project.name))
else:
local = False
patternpath = os.path.join(self.dir, pattern)
d, mask = os.path.split(os.path.abspath(patternpath))
for fname in os.listdir(d):
print fname
if fnmatch.fnmatch(fname, mask):
dbs.append(os.path.join(d, fname))
if len(dbs) == 0:
raise Exception("The pattern '%s' matches no files in %s" % (pat, fpath))
logger.debug(
'loading training databases from pattern %s:' % pattern)
for p in dbs: logger.debug(' %s' % p)
if not dbs:
raise Exception("No training data given; A training database must be selected or a pattern must be specified")
else:
return local, dbs
def update_config(self):
out('update_config')
self.config = PRACMLNConfig()
self.config['mln'] = self.mln_container.selected_file.get().strip().lstrip('*')
self.config["db"] = self.db_container.selected_file.get().strip().lstrip('*')
self.config["output_filename"] = self.output_filename.get()
self.config["params"] = self.params.get().strip()
self.config["method"] = LearningMethods.id(self.selected_method.get().strip())
self.config["pattern"] = self.pattern.get()
self.config["use_prior"] = int(self.use_prior.get())
self.config["prior_mean"] = self.priorMean.get()
self.config["prior_stdev"] = self.priorStdDev.get()
self.config["incremental"] = int(self.incremental.get())
self.config["shuffle"] = int(self.shuffle.get())
self.config["use_initial_weights"] = int(self.use_initial_weights.get())
self.config["qpreds"] = self.queryPreds.get().strip()
self.config["epreds"] = self.evidencePreds.get().strip()
self.config["discr_preds"] = self.discrPredicates.get()
self.config['logic'] = self.selected_logic.get()
self.config['grammar'] = self.selected_grammar.get()
self.config['multicore'] = self.multicore.get()
self.config['profile'] = self.profile.get()
self.config['verbose'] = self.verbose.get()
self.config['ignore_unknown_preds'] = self.ignore_unknown_preds.get()
self.config['ignore_zero_weight_formulas'] = self.ignore_zero_weight_formulas.get()
self.config['save'] = self.save.get()
self.config["output_filename"] = self.output_filename.get().strip()
self.project.learnconf = PRACMLNConfig()
self.project.learnconf.update(self.config.config.copy())
def write_gconfig(self, savegeometry=True):
self.gconf['prev_learnwts_path'] = self.project_dir
self.gconf['prev_learnwts_project': self.project_dir] = self.project.name
# save geometry
if savegeometry:
self.gconf['window_loc_learn'] = self.master.geometry()
self.gconf.dump()
def learn(self, savegeometry=True, options={}, *args):
mln_content = self.mln_container.editor.get("1.0", END).encode('utf8').strip()
db_content = self.db_container.editor.get("1.0", END).encode('utf8').strip()
# create conf from current gui settings
self.update_config()
# write gui settings
self.write_gconfig(savegeometry=savegeometry)
# hide gui
self.master.withdraw()
try:
print headline('PRAC LEARNING TOOL')
print
if options.get('mlnarg') is not None:
mlnobj = MLN(mlnfile=os.path.abspath(options.get('mlnarg')),
logic=self.config.get('logic', 'FirstOrderLogic'),
grammar=self.config.get('grammar', 'PRACGrammar'))
else:
mlnobj = parse_mln(mln_content, searchpaths=[self.project_dir],
projectpath=os.path.join(self.project_dir, self.project.name),
logic=self.config.get('logic', 'FirstOrderLogic'),
grammar=self.config.get('grammar', 'PRACGrammar'))
if options.get('dbarg') is not None:
dbobj = Database.load(mlnobj, dbfiles=[options.get('dbarg')], ignore_unknown_preds=self.config.get('ignore_unknown_preds', True))
else:
if self.config.get('pattern'):
local, dblist = self.get_training_db_paths(self.config.get('pattern').strip())
dbobj = []
# build database list from project dbs
if local:
for dbname in dblist:
dbobj.extend(parse_db(mlnobj, self.project.dbs[dbname].strip(),
ignore_unknown_preds=self.config.get('ignore_unknown_preds', True),
projectpath=os.path.join(self.dir, self.project.name)))
out(dbobj)
# build database list from filesystem dbs
else:
for dbpath in dblist:
dbobj.extend(Database.load(mlnobj, dbpath, ignore_unknown_preds= self.config.get('ignore_unknown_preds', True)))
# build single db from currently selected db
else:
dbobj = parse_db(mlnobj, db_content, projectpath=os.path.join(self.dir, self.project.name), dirs=[self.dir])
learning = MLNLearn(config=self.config, mln=mlnobj, db=dbobj)
result = learning.run()
# write to file if run from commandline, otherwise save result
# to project results
if options.get('outputfile') is not None:
output = StringIO.StringIO()
result.write(output)
with open(os.path.abspath(options.get('outputfile')), 'w') as f:
f.write(output.getvalue())
logger.info('saved result to {}'.format(os.path.abspath(options.get('outputfile'))))
elif self.save.get():
output = StringIO.StringIO()
result.write(output)
self.project.add_mln(self.output_filename.get(), output.getvalue())
self.mln_container.update_file_choices()
self.project.save(dirpath=self.project_dir)
logger.info('saved result to file mln/{} in project {}'.format(self.output_filename.get(), self.project.name))
else:
logger.debug("No output file given - results have not been saved.")
except:
traceback.print_exc()
# restore gui
sys.stdout.flush()
self.master.deiconify()
"--queries",
dest="queryarg",
help="queries (comma-separated)")
parser.add_option("-e",
"--evidence",
dest="dbarg",
help="the evidence database file")
parser.add_option("-r",
"--results-file",
dest="outputfile",
help="the results file to save")
parser.add_option("--run",
action="store_true",
dest="run",
default=False,
help="run with last settings (without showing GUI)")
(opts, args) = parser.parse_args()
options = vars(opts)
root = Tk()
conf = PRACMLNConfig(DEFAULT_CONFIG)
app = MLNQueryGUI(root,
conf,
directory=os.path.abspath(args[0]) if args else None)
if opts.run:
logger.debug('running mlnlearn without gui')
app.infer(savegeometry=False, options=options)
else:
root.mainloop()
def main():
logger.level = logs.DEBUG
usage = 'PRAC Query Tool'
parser = argparse.ArgumentParser(description=usage)
parser.add_argument("instruction", help="The instruction.")
parser.add_argument(
"-i",
"--interactive",
dest="interactive",
default=False,
action='store_true',
help="Starts PRAC inference with an interactive GUI tool.")
parser.add_argument("-v",
"--verbose",
dest="verbose",
default=1,
type=int,
action="store",
help="Set verbosity level {0..3}. Default is 1.")
args = parser.parse_args()
opts_ = vars(args)
sentences = args.instruction
prac = PRAC()
prac.verbose = args.verbose
conf = PRACMLNConfig(DEFAULT_CONFIG)
if args.interactive: # use the GUI
from tkinter import Tk
root = Tk()
# in case we have natural-language parameters, parse them
infer = PRACInference(prac, sentences)
if len(sentences) > 0:
# module = prac.module('nl_parsing')
# prac.run(infer, module)
n = infer.runstep()
# print parsing result
for odb in n.outdbs:
odb.write()
# print input sentence
print(n.nlinstr())
#Started control structure handling
'''
cs_recognition = prac.module('cs_recognition')
prac.run(inference, cs_recognition)
dbs = inference.inference_steps[-1].output_dbs
dbs_ = []
for db in dbs:
dbs_.extend(parser.extract_multiple_action_cores(db))
inference.inference_steps[-1].output_dbs = dbs_
'''
app = PRACQueryGUI(root,
infer.prac,
n,
conf,
directory=args[0] if args else None)
root.mainloop()
exit(0)
# regular PRAC pipeline
infer = PRACInference(prac, sentences)
infer.run()
print(headline('inference results'))
print('instructions:')
for i in infer.root:
print(i)
frames = []
for step in infer.steps():
print(step.frame)
print(prac_heading('cram plans', color='blue'))
for step in infer.steps():
if hasattr(step, 'plan'):
print(step.plan)
# infer.write()
exit(0)
class PRACQueryGUI(object):
def __init__(self, master, prac, node, gconf, directory='.'):
self.logger = logs.getlogger(self.__class__.__name__, level=logs.DEBUG)
self.master = master
self.initialized = False
self.master.bind('<Return>', self.start)
self.master.bind('<Escape>', lambda a: self.master.quit())
self.master.protocol('WM_DELETE_WINDOW', self.quit)
self.prac = prac
self.prac_inference = node.pracinfer
self.infStep = None
self.module_dir = os.path.join(locations.pracmodules, 'wnsenses')
self.frame = Frame(master)
self.frame.pack(fill=BOTH, expand=1)
self.frame.columnconfigure(1, weight=1)
# module selection
row = 0
Label(self.frame, text="Module: ").grid(row=row, column=0, sticky="E")
modules = sorted([module for module in self.prac._manifests_by_name])
self.selected_module = StringVar(master)
self.selected_module.trace("w", self.select_module)
self.list_modules = OptionMenu(*(self.frame, self.selected_module) +
tuple(modules))
self.list_modules.grid(row=row, column=1, sticky="NWE")
# Project selection
row += 1
Label(self.frame, text="Project: ").grid(row=row, column=0, sticky="E")
saveprojectcontainer = Frame(self.frame)
saveprojectcontainer.grid(row=row, column=1, sticky="NEWS")
saveprojectcontainer.columnconfigure(0, weight=1)
self.selected_project = StringVar(master)
projectfiles = ['']
self.list_projects = OptionMenu(
*(saveprojectcontainer, self.selected_project) +
tuple(projectfiles))
self.list_projects.grid(row=0, column=0, sticky="NWES")
self.selected_project.trace("w", self.select_project)
# save proj file
self.btn_saveproj = Button(saveprojectcontainer,
text='Save Project...',
command=self.noask_save_project)
self.btn_saveproj.grid(row=0, column=1, sticky="E")
# save proj file as...
self.btn_saveproj = Button(saveprojectcontainer,
text='Save Project as...',
command=self.ask_save_project)
self.btn_saveproj.grid(row=0, column=2, sticky="E")
# logic selection
row += 1
Label(self.frame, text='Logic: ').grid(row=row, column=0, sticky='E')
logics = ['FirstOrderLogic', 'FuzzyLogic']
self.selected_logic = StringVar(master)
self.selected_logic.trace('w', self.settings_setdirty)
l = OptionMenu(*(self.frame, self.selected_logic) + tuple(logics))
l.grid(row=row, column=1, sticky='NWE')
# mln section
row += 1
Label(self.frame, text="MLN: ").grid(row=row, column=0, sticky='NE')
self.mln_container = FileEditBar(self.frame,
dir=self.module_dir,
filesettings={
'extension': '.mln',
'ftypes': [('MLN files', '.mln')]
},
defaultname='*unknown{}',
importhook=self.import_mln,
deletehook=self.delete_mln,
projecthook=self.save_proj,
filecontenthook=self.mlnfilecontent,
fileslisthook=self.mlnfiles,
updatehook=self.update_mln,
onchangehook=self.project_setdirty)
self.mln_container.grid(row=row, column=1, sticky="NEWS")
self.mln_container.columnconfigure(1, weight=2)
self.frame.rowconfigure(row, weight=1)
row += 1
self.use_emln = IntVar()
self.use_emln.set(0)
self.cb_use_emln = Checkbutton(self.frame,
text="use model extension",
variable=self.use_emln,
command=self.onchange_use_emln)
self.cb_use_emln.grid(row=row, column=1, sticky="W")
# mln extension section
row += 1
self.emlncontainerrow = row
self.emln_label = Label(self.frame, text="EMLN: ")
self.emln_label.grid(row=self.emlncontainerrow, column=0, sticky='NE')
self.emln_container = FileEditBar(self.frame,
dir=self.module_dir,
filesettings={
'extension':
'.emln',
'ftypes':
[('MLN extension files', '.emln')
]
},
defaultname='*unknown{}',
importhook=self.import_emln,
deletehook=self.delete_emln,
projecthook=self.save_proj,
filecontenthook=self.emlnfilecontent,
fileslisthook=self.emlnfiles,
updatehook=self.update_emln,
onchangehook=self.project_setdirty)
self.emln_container.grid(row=self.emlncontainerrow,
column=1,
sticky="NEWS")
self.emln_container.columnconfigure(1, weight=2)
self.onchange_use_emln(dirty=False)
self.frame.rowconfigure(row, weight=1)
# db section
row += 1
Label(self.frame, text="Evidence: ").grid(row=row,
column=0,
sticky='NE')
self.db_container = FileEditBar(self.frame,
dir=self.module_dir,
filesettings={
'extension': '.db',
'ftypes':
[('Database files', '.db')]
},
defaultname='*unknown{}',
importhook=self.import_db,
deletehook=self.delete_db,
projecthook=self.save_proj,
filecontenthook=self.dbfilecontent,
fileslisthook=self.dbfiles,
updatehook=self.update_db,
onchangehook=self.project_setdirty)
self.db_container.grid(row=row, column=1, sticky="NEWS")
self.db_container.columnconfigure(1, weight=2)
self.frame.rowconfigure(row, weight=1)
# inference method selection
row += 1
self.list_methods_row = row
Label(self.frame, text="Method: ").grid(row=row, column=0, sticky=E)
self.selected_method = StringVar(master)
self.selected_method.trace('w', self.settings_setdirty)
self.list_methods = OptionMenu(self.frame, self.selected_method,
*InferenceMethods.names())
self.list_methods.grid(row=self.list_methods_row,
column=1,
sticky="NWE")
# queries
row += 1
Label(self.frame, text="Queries: ").grid(row=row, column=0, sticky=E)
self.query = StringVar(master)
Entry(self.frame, textvariable=self.query).grid(row=row,
column=1,
sticky="NEW")
# parameters
row += 1
Label(self.frame, text="Parameters: ").grid(row=row,
column=0,
sticky="NE")
self.params = StringVar(master)
self.entry_params = Entry(self.frame, textvariable=self.params)
self.entry_params.grid(row=row, column=1, sticky="NEW")
# closed-world predicates
row += 1
Label(self.frame, text="CW preds: ").grid(row=row,
column=0,
sticky="NE")
self.cwpreds = StringVar(master)
self.entry_cw = Entry(self.frame, textvariable=self.cwpreds)
self.entry_cw.grid(row=row, column=1, sticky="NEW")
# all preds open-world
cw_container = Frame(self.frame)
cw_container.grid(row=row, column=1, sticky="NES")
self.closed_world = IntVar()
self.cb_closed_world = Checkbutton(
cw_container,
text="Apply CW assumption to all except queries",
variable=self.closed_world)
self.cb_closed_world.grid(row=row, column=2, sticky='E')
# Multiprocessing and verbose
row += 1
options_container = Frame(self.frame)
options_container.grid(row=row, column=1, sticky='NEWS')
self.multicore = IntVar()
self.cb_multicore = Checkbutton(options_container,
text="Use all CPUs",
variable=self.multicore)
self.cb_multicore.grid(row=0, column=0, sticky=W)
self.verbose = IntVar()
self.cb_verbose = Checkbutton(options_container,
text="verbose",
variable=self.verbose)
self.cb_verbose.grid(row=0, column=1, sticky=W)
self.keep_evidence = IntVar()
self.cb_keep_evidence = Checkbutton(options_container,
text="keep result",
variable=self.keep_evidence)
self.cb_keep_evidence.grid(row=0, column=2, sticky=W)
self.keep_evidence.set(True)
# start and continue buttons
row += 1
self.btn_container = Frame(self.frame)
self.btn_container.grid(row=row, column=1, sticky='EW')
start_button = Button(self.btn_container,
text="Start Inference",
command=self.start)
start_button.grid(row=0, column=1, sticky='E')
continue_button = Button(self.btn_container,
text="Continue >",
command=self.oncontinue)
continue_button.grid(row=0, column=2, sticky='W')
self.settings_dirty = IntVar()
self.project_dirty = IntVar()
self.gconf = gconf
self.project = None
self.dir = os.path.abspath(
ifnone(gconf['prev_query_path'], DEFAULT_CONFIG))
if gconf['prev_query_project':self.dir] is not None:
self.load_project(
os.path.join(self.dir, gconf['prev_query_project':self.dir]))
else:
self.new_project()
self.config = self.project.queryconf
self.project.addlistener(self.project_setdirty)
self.selected_module.set(self.gconf.get("module", modules[0]))
self.update_dbeditor_from_result(node.outdbs)
self.mln_container.dirty = False
self.emln_container.dirty = False
self.db_container.dirty = False
self.project_setdirty(dirty=False)
self.master.geometry(gconf['window_loc_query'])
self.initialized = True
def quit(self):
if self.settings_dirty.get() or self.project_dirty.get():
savechanges = tkinter.messagebox.askyesnocancel(
"Save changes",
"You have unsaved project changes. Do you want to save them before quitting?"
)
if savechanges is None:
return
elif savechanges:
self.noask_save_project()
self.master.destroy()
else:
# write gui settings and destroy
self.write_gconfig()
self.master.destroy()
####################### PROJECT FUNCTIONS #################################
def new_project(self):
self.project = MLNProject()
self.project.addlistener(self.project_setdirty)
self.project.name = DEFAULTNAME.format('.pracmln')
self.reset_gui()
self.set_config(self.project.queryconf)
self.mln_container.update_file_choices()
self.emln_container.update_file_choices()
self.db_container.update_file_choices()
self.settings_setdirty()
def project_setdirty(self, dirty=False, *args):
self.project_dirty.set(dirty or self.mln_container.dirty
or self.db_container.dirty
or self.emln_container.dirty)
self.changewindowtitle()
def settings_setdirty(self, *args):
self.settings_dirty.set(1)
self.changewindowtitle()
def changewindowtitle(self):
title = (WINDOWTITLEEDITED if
(self.settings_dirty.get() or self.project_dirty.get()) else
WINDOWTITLE).format(self.dir, self.project.name)
self.master.title(title)
def select_project(self, *args):
filename = os.path.join(
self.prac.manifest(self.selected_module.get()).module_path,
self.selected_project.get())
if filename and os.path.exists(filename):
self.load_project(filename)
else:
self.logger.info('No file selected.')
return
def load_project(self, filename):
if filename and os.path.exists(filename):
projdir, _ = ntpath.split(filename)
self.dir = os.path.abspath(projdir)
self.module_dir = os.path.abspath(projdir)
self.project = MLNProject.open(filename)
self.project.addlistener(self.project_setdirty)
self.reset_gui(keepdb=True)
self.set_config(self.project.queryconf.config)
self.mln_container.update_file_choices()
self.db_container.update_file_choices()
if len(self.project.mlns) > 0:
self.mln_container.selected_file.set(
self.project.queryconf['mln']
or list(self.project.mlns.keys())[0])
self.mln_container.dirty = False
if len(self.project.emlns) > 0:
self.emln_container.selected_file.set(
self.project.queryconf['emln']
or list(self.project.emlns.keys())[0])
self.emln_container.dirty = False
if len(self.project.dbs) > 0 and not self.keep_evidence.get():
self.db_container.selected_file.set(
self.project.queryconf['db']
or list(self.project.dbs.keys())[0])
self.write_gconfig(savegeometry=False)
self.settings_dirty.set(0)
self.changewindowtitle()
else:
self.logger.error(
'File {} does not exist. Creating new project...'.format(
filename))
self.new_project()
def noask_save_project(self):
if self.project.name and not self.project.name == DEFAULTNAME.format(
'.pracmln'):
self.save_project(os.path.join(self.module_dir, self.project.name))
else:
self.ask_save_project()
def ask_save_project(self):
fullfilename = asksaveasfilename(initialdir=self.module_dir,
confirmoverwrite=True,
filetypes=[('PRACMLN project files',
'.pracmln')],
defaultextension=".pracmln")
self.save_project(fullfilename)
def save_project(self, fullfilename):
if fullfilename is not None:
fpath, fname = ntpath.split(fullfilename)
fname = fname.split('.')[0]
self.project.name = fname
self.dir = os.path.abspath(fpath)
self.module_dir = os.path.abspath(fpath)
self.mln_container.save_all_files()
self.emln_container.save_all_files()
self.db_container.save_all_files()
self.update_config()
self.project.save(dirpath=self.module_dir)
self.write_gconfig()
self.load_project(fullfilename)
self.settings_dirty.set(0)
def save_proj(self):
self.project.save(dirpath=self.module_dir)
self.write_gconfig()
self.project_setdirty()
####################### MLN FUNCTIONS #####################################
def import_mln(self, name, content):
self.project.add_mln(name, content)
def delete_mln(self, fname):
if fname in self.project.mlns:
self.project.rm_mln(fname)
fnamestr = fname.strip('*')
if fnamestr in self.project.mlns:
self.project.rm_mln(fnamestr)
def update_mln(self, old=None, new=None, content=None, askoverwrite=True):
if old is None:
old = self.mln_container.selected_file.get()
if new is None:
new = self.mln_container.selected_file.get().strip('*')
if content is None:
content = self.mln_container.editor.get("1.0", END).strip()
if old == new and askoverwrite:
savechanges = tkinter.messagebox.askyesno(
"Save changes",
"A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.mlns[old] = content
else:
self.logger.error('no name specified!')
return -1
elif old == new and not askoverwrite:
self.project.mlns[old] = content
else:
if new in self.project.mlns:
if askoverwrite:
savechanges = tkinter.messagebox.askyesno(
"Save changes",
"A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.mlns[new] = content
else:
self.logger.error('no name specified!')
return -1
else:
self.project.mlns[new] = content
return 1
def mlnfiles(self):
return list(self.project.mlns.keys())
def mlnfilecontent(self, filename):
return self.project.mlns.get(filename, '').strip()
####################### /MLN FUNCTIONS #####################################
####################### EMLN FUNCTIONS #####################################
def import_emln(self, name, content):
self.project.add_emln(name, content)
def delete_emln(self, fname):
if fname in self.project.emlns:
self.project.rm_emln(fname)
fnamestr = fname.strip('*')
if fnamestr in self.project.emlns:
self.project.rm_emln(fnamestr)
def update_emln(self, old=None, new=None, content=None, askoverwrite=True):
if old is None:
old = self.emln_container.selected_file.get()
if new is None:
new = self.emln_container.selected_file.get().strip('*')
if content is None:
content = self.emln_container.editor.get("1.0", END).strip()
if old == new and askoverwrite:
savechanges = tkinter.messagebox.askyesno(
"Save changes",
"A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.emlns[old] = content
else:
self.logger.error('no name specified!')
return -1
elif old == new and not askoverwrite:
self.project.emlns[old] = content
else:
if new in self.project.emlns:
if askoverwrite:
savechanges = tkinter.messagebox.askyesno(
"Save changes",
"A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.emlns[new] = content
else:
self.logger.error('no name specified!')
return -1
else:
self.project.emlns[new] = content
return 1
def emlnfiles(self):
return list(self.project.emlns.keys())
def emlnfilecontent(self, filename):
return self.project.emlns.get(filename, '').strip()
####################### /EMLN FUNCTIONS #####################################
####################### DB FUNCTIONS #####################################
def import_db(self, name, content):
self.project.add_db(name, content)
def delete_db(self, fname):
if fname in self.project.dbs:
self.project.rm_db(fname)
fnamestr = fname.strip('*')
if fnamestr in self.project.dbs:
self.project.rm_db(fnamestr)
def update_db(self, old=None, new=None, content=None, askoverwrite=True):
if old is None:
old = self.db_container.selected_file.get()
if new is None:
new = self.db_container.selected_file.get().strip('*')
if content is None:
content = self.db_container.editor.get("1.0", END).strip()
if old == new and askoverwrite:
savechanges = tkinter.messagebox.askyesno(
"Save changes",
"A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.dbs[old] = content
else:
self.logger.error('no name specified!')
return -1
elif old == new and not askoverwrite:
self.project.dbs[old] = content
else:
if new in self.project.dbs:
if askoverwrite:
savechanges = tkinter.messagebox.askyesno(
"Save changes",
"A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.dbs[new] = content
else:
self.logger.error('no name specified!')
return -1
else:
self.project.dbs[new] = content
return 1
def dbfiles(self):
return list(self.project.dbs.keys())
def dbfilecontent(self, filename):
return self.project.dbs.get(filename, '').strip()
####################### /DB FUNCTIONS #####################################
####################### GENERAL FUNCTIONS #################################
def onchange_use_emln(self, dirty=True, *args):
if not self.use_emln.get():
self.emln_label.grid_forget()
self.emln_container.grid_forget()
else:
self.emln_label.grid(row=self.emlncontainerrow,
column=0,
sticky="NE")
self.emln_container.grid(row=self.emlncontainerrow,
column=1,
sticky="NWES")
if dirty:
self.settings_setdirty()
def onchange_cw(self, *args):
if self.closed_world.get():
self.entry_cw.configure(state=DISABLED)
else:
self.entry_cw.configure(state=NORMAL)
self.settings_setdirty()
def reset_gui(self, keepdb=False):
self.set_config({})
self.db_container.clear(keep=keepdb)
self.emln_container.clear()
self.mln_container.clear()
def set_config(self, conf):
self.config = conf
self.selected_logic.set(ifnone(conf.get('logic'), 'FirstOrderLogic'))
self.mln_container.selected_file.set(ifnone(conf.get('mln'), ''))
if not self.keep_evidence:
self.db_container.selected_file.set(ifnone(conf.get('db'), ''))
self.selected_method.set(
ifnone(self.config.get("method"),
InferenceMethods.name('MCSAT'),
transform=InferenceMethods.name))
self.use_emln.set(ifnone(conf.get('use_emln'), False))
if self.use_emln.get():
self.emln_container.selected_file.set(ifnone(conf.get('emln'), ""))
self.multicore.set(ifnone(conf.get('multicore'), False))
self.verbose.set(ifnone(conf.get('verbose'), False))
self.params.set(ifnone(conf.get('params'), ''))
self.cwpreds.set(ifnone(conf.get('cw_preds'), ''))
self.closed_world.set(ifnone(conf.get('cw'), False))
self.query.set(ifnone(conf.get('queries'), 'foo, bar'))
def update_config(self):
self.config = PRACMLNConfig()
self.config['mln'] = self.mln_container.selected_file.get().strip(
).lstrip('*')
self.config['emln'] = self.emln_container.selected_file.get().strip(
).lstrip('*')
self.config["db"] = self.db_container.selected_file.get().strip(
).lstrip('*')
self.config["method"] = InferenceMethods.id(
self.selected_method.get().strip())
self.config["params"] = self.params.get().strip()
self.config["queries"] = self.query.get()
self.config["cw"] = self.closed_world.get()
self.config["cw_preds"] = self.cwpreds.get()
self.config["use_emln"] = self.use_emln.get()
self.config['logic'] = self.selected_logic.get()
self.config['multicore'] = self.multicore.get()
self.config['verbose'] = self.verbose.get()
self.config['window_loc'] = self.master.winfo_geometry()
self.config['dir'] = self.dir
self.project.queryconf = PRACMLNConfig()
self.project.queryconf.update(self.config.config.copy())
def write_gconfig(self, savegeometry=True):
self.gconf['prev_query_path'] = self.dir
self.gconf['prev_query_project':self.dir] = self.project.name
# save geometry
if savegeometry:
self.gconf['window_loc_query'] = self.master.geometry()
self.gconf.dump()
def select_module(self, *args):
module = self.selected_module.get()
module_path = self.prac.manifest(module).module_path
dirpath = os.path.abspath(module_path)
self.module_dir = dirpath
self.update_project_choices()
if self.gconf['prev_query_project':dirpath] is not None:
self.selected_project.set(self.gconf['prev_query_project':dirpath])
def update_project_choices(self):
modulename = self.selected_module.get()
module_path = self.prac.manifest(modulename).module_path
# remove all items
self.list_projects['menu'].delete(0, 'end')
projects = [
y for y in os.listdir(module_path)
if os.path.isfile(os.path.join(module_path, y))
and y.endswith('.pracmln')
]
for p in projects:
self.list_projects['menu'].add_command(label=p,
command=_setit(
self.selected_project,
p))
def oncontinue(self):
if self.infStep is None:
self.start()
curstep = self.prac_inference.lastnode.infchain[-1]
evidence = curstep.outdbs
self.update_dbeditor_from_result(evidence)
self.logger.info(
'Input databases have been replaced by the latest results.')
def update_dbeditor_from_result(self, dbs):
self.db_container.selected_file.set('')
strbuf = io.StringIO()
for i, db in enumerate(dbs):
db.write(strbuf, bars=False, color=False)
if i < len(dbs) - 1:
strbuf.write('---\n')
self.db_container.editor.delete("1.0", END)
self.db_container.editor.insert(INSERT,
strbuf.getvalue().encode('utf-8'))
strbuf.close()
self.db_container._editor_dirty = True
def update_result_from_dbeditor(self):
dbtext = self.db_container.editor.get("1.0",
END).encode('utf8').strip()
dbobj = parse_db(self.prac.mln,
dbtext,
ignore_unknown_preds=self.config.get(
'ignore_unknown_preds', True))
self.prac_inference.inference_steps[-1].output_dbs = dbobj
def start(self, savegeometry=True):
# create conf from current gui settings
self.update_config()
self.update_mln(askoverwrite=False)
# write gui settings
self.write_gconfig(savegeometry=savegeometry)
# hide gui
self.master.withdraw()
# if evidence was modified in gui, update dbs for next inference step
self.update_result_from_dbeditor()
# runinference
try:
print(headline('PRAC QUERY TOOL'))
print()
next_step = self.prac_inference.runstep()
curstep = self.prac_inference.lastnode.infchain[-1]
evidence = curstep.outdbs
module = self.prac.module(self.selected_module.get())
self.infStep = module(self.prac_inference,
project=self.project,
projectpath=os.path.join(
self.module_dir, self.project.name))
except:
cls, e, tb = sys.exc_info()
sys.stderr.write("Error: %s\n" % str(e))
traceback.print_tb(tb)
# restore main window
self.master.deiconify()
class MLNQueryGUI(object):
def __init__(self, master, gconf, directory=None):
self.master = master
# icon = Tkinter.Image("photo", file=os.path.join(PRACMLN_HOME, 'doc', '_static', 'favicon.ico'))
# self.master.tk.call('wm', 'iconphoto', self.master._w, icon)
self.initialized = False
self.master.bind('<Return>', self.infer)
self.master.bind('<Escape>', lambda a: self.master.quit())
self.master.protocol('WM_DELETE_WINDOW', self.quit)
self.dir = os.path.abspath(ifNone(directory, ifNone(gconf['prev_query_path'], os.getcwd())))
self.frame = Frame(master)
self.frame.pack(fill=BOTH, expand=1)
self.frame.columnconfigure(1, weight=1)
row = 0
# pracmln project options
Label(self.frame, text='PRACMLN Project: ').grid(row=row, column=0,
sticky='ES')
project_container = Frame(self.frame)
project_container.grid(row=row, column=1, sticky="NEWS")
# new proj file
self.btn_newproj = Button(project_container, text='New Project...', command=self.new_project)
self.btn_newproj.grid(row=0, column=1, sticky="WS")
# open proj file
self.btn_openproj = Button(project_container, text='Open Project...', command=self.ask_load_project)
self.btn_openproj.grid(row=0, column=2, sticky="WS")
# save proj file
self.btn_updateproj = Button(project_container, text='Save Project...', command=self.noask_save_project)
self.btn_updateproj.grid(row=0, column=3, sticky="WS")
# save proj file as...
self.btn_saveproj = Button(project_container, text='Save Project as...', command=self.ask_save_project)
self.btn_saveproj.grid(row=0, column=4, sticky="WS")
# grammar selection
row += 1
Label(self.frame, text='Grammar: ').grid(row=row, column=0, sticky='E')
grammars = ['StandardGrammar', 'PRACGrammar']
self.selected_grammar = StringVar(master)
self.selected_grammar.trace('w', self.settings_setdirty)
l = apply(OptionMenu, (self.frame, self.selected_grammar) + tuple(grammars))
l.grid(row=row, column=1, sticky='NWE')
# logic selection
row += 1
Label(self.frame, text='Logic: ').grid(row=row, column=0, sticky='E')
logics = ['FirstOrderLogic', 'FuzzyLogic']
self.selected_logic = StringVar(master)
self.selected_logic.trace('w', self.settings_setdirty)
l = apply(OptionMenu, (self.frame, self.selected_logic) + tuple(logics))
l.grid(row=row, column=1, sticky='NWE')
# mln section
row += 1
Label(self.frame, text="MLN: ").grid(row=row, column=0, sticky='NE')
self.mln_container = FileEditBar(self.frame, dir=self.dir,
filesettings={'extension': '.mln', 'ftypes': [('MLN files', '.mln')]},
defaultname='*unknown{}',
importhook=self.import_mln,
deletehook=self.delete_mln,
projecthook=self.save_proj,
filecontenthook=self.mlnfilecontent,
fileslisthook=self.mlnfiles,
updatehook=self.update_mln,
onchangehook=self.project_setdirty)
self.mln_container.grid(row=row, column=1, sticky="NEWS")
self.mln_container.columnconfigure(1, weight=2)
self.frame.rowconfigure(row, weight=1)
row += 1
self.use_emln = IntVar()
self.use_emln.set(0)
self.cb_use_emln = Checkbutton(self.frame, text="use model extension",
variable=self.use_emln,
command=self.onchange_use_emln)
self.cb_use_emln.grid(row=row, column=1, sticky="W")
# mln extension section
row += 1
self.emlncontainerrow = row
self.emln_label = Label(self.frame, text="EMLN: ")
self.emln_label.grid(row=self.emlncontainerrow, column=0, sticky='NE')
self.emln_container = FileEditBar(self.frame,
dir=self.dir,
filesettings={'extension': '.emln', 'ftypes': [('MLN extension files','.emln')]},
defaultname='*unknown{}',
importhook=self.import_emln,
deletehook=self.delete_emln,
projecthook=self.save_proj,
filecontenthook=self.emlnfilecontent,
fileslisthook=self.emlnfiles,
updatehook=self.update_emln,
onchangehook=self.project_setdirty)
self.emln_container.grid(row=self.emlncontainerrow, column=1, sticky="NEWS")
self.emln_container.columnconfigure(1, weight=2)
self.onchange_use_emln(dirty=False)
self.frame.rowconfigure(row, weight=1)
# db section
row += 1
Label(self.frame, text="Evidence: ").grid(row=row, column=0, sticky='NE')
self.db_container = FileEditBar(self.frame, dir=self.dir,
filesettings={'extension': '.db', 'ftypes': [('Database files', '.db')]},
defaultname='*unknown{}',
importhook=self.import_db,
deletehook=self.delete_db,
projecthook=self.save_proj,
filecontenthook=self.dbfilecontent,
fileslisthook=self.dbfiles,
updatehook=self.update_db,
onchangehook=self.project_setdirty)
self.db_container.grid(row=row, column=1, sticky="NEWS")
self.db_container.columnconfigure(1, weight=2)
self.frame.rowconfigure(row, weight=1)
# inference method selection
row += 1
self.list_methods_row = row
Label(self.frame, text="Method: ").grid(row=row, column=0, sticky=E)
self.selected_method = StringVar(master)
self.selected_method.trace('w', self.select_method)
methodnames = sorted(InferenceMethods.names())
self.list_methods = apply(OptionMenu, (self.frame, self.selected_method) + tuple(methodnames))
self.list_methods.grid(row=self.list_methods_row, column=1, sticky="NWE")
# options
row += 1
option_container = Frame(self.frame)
option_container.grid(row=row, column=1, sticky="NEWS")
# Multiprocessing
self.multicore = IntVar()
self.cb_multicore = Checkbutton(option_container, text="Use all CPUs",
variable=self.multicore,
command=self.settings_setdirty)
self.cb_multicore.grid(row=0, column=2, sticky=W)
# profiling
self.profile = IntVar()
self.cb_profile = Checkbutton(option_container, text='Use Profiler',
variable=self.profile,
command=self.settings_setdirty)
self.cb_profile.grid(row=0, column=3, sticky=W)
# verbose
self.verbose = IntVar()
self.cb_verbose = Checkbutton(option_container, text='verbose',
variable=self.verbose,
command=self.settings_setdirty)
self.cb_verbose.grid(row=0, column=4, sticky=W)
# options
self.ignore_unknown_preds = IntVar(master)
self.cb_ignore_unknown_preds = Checkbutton(option_container,
text='ignore unkown predicates',
variable=self.ignore_unknown_preds,
command=self.settings_setdirty)
self.cb_ignore_unknown_preds.grid(row=0, column=5, sticky="W")
# queries
row += 1
Label(self.frame, text="Queries: ").grid(row=row, column=0, sticky=E)
self.query = StringVar(master)
self.query.trace('w', self.settings_setdirty)
Entry(self.frame, textvariable=self.query).grid(row=row, column=1, sticky="NEW")
# additional parameters
row += 1
Label(self.frame, text="Add. params: ").grid(row=row, column=0, sticky="NE")
self.params = StringVar(master)
self.params.trace('w', self.settings_setdirty)
self.entry_params = Entry(self.frame, textvariable=self.params)
self.entry_params.grid(row=row, column=1, sticky="NEW")
# closed-world predicates
row += 1
Label(self.frame, text="CW preds: ").grid(row=row, column=0, sticky="E")
cw_container = Frame(self.frame)
cw_container.grid(row=row, column=1, sticky='NEWS')
cw_container.columnconfigure(0, weight=1)
self.cwPreds = StringVar(master)
self.cwPreds.trace('w', self.settings_setdirty)
self.entry_cw = Entry(cw_container, textvariable=self.cwPreds)
self.entry_cw.grid(row=0, column=0, sticky="NEWS")
self.closed_world = IntVar()
self.cb_closed_world = Checkbutton(cw_container, text="CW Assumption",
variable=self.closed_world,
command=self.onchange_cw)
self.cb_closed_world.grid(row=0, column=1, sticky='W')
# output filename
row += 1
output_cont = Frame(self.frame)
output_cont.grid(row=row, column=1, sticky='NEWS')
output_cont.columnconfigure(0, weight=1)
# - filename
Label(self.frame, text="Output: ").grid(row=row, column=0, sticky="NE")
self.output_filename = StringVar(master)
self.entry_output_filename = Entry(output_cont, textvariable=self.output_filename)
self.entry_output_filename.grid(row=0, column=0, sticky="NEW")
# - save option
self.save = IntVar()
self.cb_save = Checkbutton(output_cont, text="save", variable=self.save)
self.cb_save.grid(row=0, column=1, sticky=W)
# start button
row += 1
start_button = Button(self.frame, text=">> Start Inference <<", command=self.infer)
start_button.grid(row=row, column=1, sticky="NEW")
self.settings_dirty = IntVar()
self.project_dirty = IntVar()
self.gconf = gconf
self.project = None
self.project_dir = os.path.abspath(ifNone(directory, ifNone(gconf['prev_query_path'], os.getcwd())))
if gconf['prev_query_project': self.project_dir] is not None:
self.load_project(os.path.join(self.project_dir, gconf['prev_query_project':self.project_dir]))
else:
self.new_project()
self.config = self.project.queryconf
self.project.addlistener(self.project_setdirty)
self.mln_container.dirty = False
self.emln_container.dirty = False
self.db_container.dirty = False
self.project_setdirty(dirty=False)
self.master.geometry(gconf['window_loc_query'])
self.initialized = True
def quit(self):
if self.settings_dirty.get() or self.project_dirty.get():
savechanges = tkMessageBox.askyesnocancel("Save changes", "You have unsaved project changes. Do you want to save them before quitting?")
if savechanges is None:
return
elif savechanges:
self.noask_save_project()
self.master.destroy()
else:
# write gui settings and destroy
self.write_gconfig()
self.master.destroy()
####################### PROJECT FUNCTIONS #################################
def new_project(self):
self.project = MLNProject()
self.project.addlistener(self.project_setdirty)
self.project.name = DEFAULTNAME.format('.pracmln')
self.reset_gui()
self.set_config(self.project.queryconf)
self.mln_container.update_file_choices()
self.emln_container.update_file_choices()
self.db_container.update_file_choices()
self.project_setdirty(dirty=True)
def project_setdirty(self, dirty=False, *args):
self.project_dirty.set(dirty or self.mln_container.dirty or self.db_container.dirty or
self.emln_container.dirty)
self.changewindowtitle()
def settings_setdirty(self, *args):
self.settings_dirty.set(1)
self.changewindowtitle()
def changewindowtitle(self):
title = (WINDOWTITLEEDITED if (self.settings_dirty.get() or self.project_dirty.get()) else WINDOWTITLE).format(self.project_dir, self.project.name)
self.master.title(title)
def ask_load_project(self):
filename = askopenfilename(initialdir=self.dir, filetypes=[('PRACMLN project files', '.pracmln')], defaultextension=".pracmln")
if filename and os.path.exists(filename):
self.load_project(filename)
else:
logger.info('No file selected.')
return
def load_project(self, filename):
if filename and os.path.exists(filename):
projdir, _ = ntpath.split(filename)
self.dir = os.path.abspath(projdir)
self.project_dir = os.path.abspath(projdir)
self.project = MLNProject.open(filename)
self.project.addlistener(self.project_setdirty)
self.reset_gui()
self.set_config(self.project.queryconf.config)
self.mln_container.update_file_choices()
self.db_container.update_file_choices()
if len(self.project.mlns) > 0:
self.mln_container.selected_file.set(self.project.queryconf['mln'] or self.project.mlns.keys()[0])
self.mln_container.dirty = False
if len(self.project.emlns) > 0:
self.emln_container.selected_file.set(self.project.queryconf['emln'] or self.project.emlns.keys()[0])
self.emln_container.dirty = False
if len(self.project.dbs) > 0:
self.db_container.selected_file.set(self.project.queryconf['db'] or self.project.dbs.keys()[0])
self.db_container.dirty = False
self.write_gconfig(savegeometry=False)
self.settings_dirty.set(0)
self.project_setdirty(dirty=False)
self.changewindowtitle()
else:
logger.error('File {} does not exist. Creating new project...'.format(filename))
self.new_project()
def noask_save_project(self):
if self.project.name and not self.project.name == DEFAULTNAME.format('.pracmln'):
self.save_project(os.path.join(self.project_dir, self.project.name))
else:
self.ask_save_project()
def ask_save_project(self):
fullfilename = asksaveasfilename(initialdir=self.project_dir,
confirmoverwrite=True,
filetypes=[('PRACMLN project files','.pracmln')],
defaultextension=".pracmln")
self.save_project(fullfilename)
def save_project(self, fullfilename):
if fullfilename:
fpath, fname = ntpath.split(fullfilename)
fname = fname.split('.')[0]
self.project.name = fname
self.dir = os.path.abspath(fpath)
self.project_dir = os.path.abspath(fpath)
self.mln_container.save_all_files()
self.emln_container.save_all_files()
self.db_container.save_all_files()
self.update_config()
self.project.save(dirpath=self.project_dir)
self.write_gconfig()
self.load_project(fullfilename)
self.settings_dirty.set(0)
def save_proj(self):
self.project.save(dirpath=self.project_dir)
self.write_gconfig()
self.project_setdirty(dirty=False)
####################### MLN FUNCTIONS #####################################
def import_mln(self, name, content):
self.project.add_mln(name, content)
def delete_mln(self, fname):
if fname in self.project.mlns:
self.project.rm_mln(fname)
fnamestr = fname.strip('*')
if fnamestr in self.project.mlns:
self.project.rm_mln(fnamestr)
def update_mln(self, old=None, new=None, content=None, askoverwrite=True):
if old is None:
old = self.mln_container.selected_file.get()
if new is None:
new = self.mln_container.selected_file.get().strip('*')
if content is None:
content = self.mln_container.editor.get("1.0", END).strip()
if old == new and askoverwrite:
savechanges = tkMessageBox.askyesno("Save changes", "A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.mlns[old] = content
else:
logger.error('no name specified!')
return -1
elif old == new and not askoverwrite:
self.project.mlns[old] = content
else:
if new in self.project.mlns:
if askoverwrite:
savechanges = tkMessageBox.askyesno("Save changes", "A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.mlns[new] = content
else:
logger.error('no name specified!')
return -1
else:
self.project.mlns[new] = content
return 1
def mlnfiles(self):
return self.project.mlns.keys()
def mlnfilecontent(self, filename):
return self.project.mlns.get(filename, '').strip()
# /MLN FUNCTIONS #####################################
####################### EMLN FUNCTIONS #####################################
def import_emln(self, name, content):
self.project.add_emln(name, content)
def delete_emln(self, fname):
if fname in self.project.emlns:
self.project.rm_emln(fname)
fnamestr = fname.strip('*')
if fnamestr in self.project.emlns:
self.project.rm_emln(fnamestr)
def update_emln(self, old=None, new=None, content=None, askoverwrite=True):
if old is None:
old = self.emln_container.selected_file.get()
if new is None:
new = self.emln_container.selected_file.get().strip('*')
if content is None:
content = self.emln_container.editor.get("1.0", END).strip()
if old == new and askoverwrite:
savechanges = tkMessageBox.askyesno("Save changes", "A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.emlns[old] = content
else:
logger.error('no name specified!')
return -1
elif old == new and not askoverwrite:
self.project.emlns[old] = content
else:
if new in self.project.emlns:
if askoverwrite:
savechanges = tkMessageBox.askyesno("Save changes", "A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.emlns[new] = content
else:
logger.error('no name specified!')
return -1
else:
self.project.emlns[new] = content
return 1
def emlnfiles(self):
return self.project.emlns.keys()
def emlnfilecontent(self, filename):
return self.project.emlns.get(filename, '').strip()
# /EMLN FUNCTIONS #####################################
# DB FUNCTIONS #####################################
def import_db(self, name, content):
self.project.add_db(name, content)
def delete_db(self, fname):
if fname in self.project.dbs:
self.project.rm_db(fname)
fnamestr = fname.strip('*')
if fnamestr in self.project.dbs:
self.project.rm_db(fnamestr)
def update_db(self, old=None, new=None, content=None, askoverwrite=True):
if old is None:
old = self.db_container.selected_file.get()
if new is None:
new = self.db_container.selected_file.get().strip('*')
if content is None:
content = self.db_container.editor.get("1.0", END).strip()
if old == new and askoverwrite:
savechanges = tkMessageBox.askyesno("Save changes", "A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.dbs[old] = content
else:
logger.error('no name specified!')
return -1
elif old == new and not askoverwrite:
self.project.dbs[old] = content
else:
if new in self.project.dbs:
if askoverwrite:
savechanges = tkMessageBox.askyesno("Save changes", "A file '{}' already exists. Overwrite?".format(new))
if savechanges:
self.project.dbs[new] = content
else:
logger.error('no name specified!')
return -1
else:
self.project.dbs[new] = content
return 1
def dbfiles(self):
return self.project.dbs.keys()
def dbfilecontent(self, filename):
return self.project.dbs.get(filename, '').strip()
# /DB FUNCTIONS #####################################
# GENERAL FUNCTIONS #################################
def select_method(self, *args):
self.set_outputfilename()
self.settings_setdirty()
def onchange_use_emln(self, dirty=True, *args):
if not self.use_emln.get():
self.emln_label.grid_forget()
self.emln_container.grid_forget()
else:
self.emln_label.grid(row=self.emlncontainerrow, column=0, sticky="NE")
self.emln_container.grid(row=self.emlncontainerrow, column=1, sticky="NWES")
if dirty:
self.settings_setdirty()
def onchange_cw(self, *args):
if self.closed_world.get():
self.entry_cw.configure(state=DISABLED)
else:
self.entry_cw.configure(state=NORMAL)
self.settings_setdirty()
def reset_gui(self):
self.set_config({})
self.db_container.clear()
self.emln_container.clear()
self.mln_container.clear()
def set_config(self, newconf):
self.config = newconf
self.selected_grammar.set(ifNone(newconf.get('grammar'), 'PRACGrammar'))
self.selected_logic.set(ifNone(newconf.get('logic'), 'FirstOrderLogic'))
self.mln_container.selected_file.set(ifNone(newconf.get('mln'), ''))
if self.use_emln.get():
self.emln_container.selected_file.set(ifNone(newconf.get('mln'), ''))
self.db_container.selected_file.set(ifNone(newconf.get('db'), ""))
self.selected_method.set(ifNone(newconf.get("method"), InferenceMethods.name('MCSAT'), transform=InferenceMethods.name))
self.multicore.set(ifNone(newconf.get('multicore'), 0))
self.profile.set(ifNone(newconf.get('profile'), 0))
self.params.set(ifNone(newconf.get('params'), ''))
self.use_emln.set(ifNone(newconf.get('use_emln'), 0))
self.verbose.set(ifNone(newconf.get('verbose'), 1))
self.ignore_unknown_preds.set(ifNone(newconf.get('ignore_unknown_preds'), 0))
self.output_filename.set(ifNone(newconf.get('output_filename'), ''))
self.cwPreds.set(ifNone(newconf.get('cw_preds'), ''))
self.closed_world.set(ifNone(newconf.get('cw'), 0))
self.save.set(ifNone(newconf.get('save'), 0))
self.query.set(ifNone(newconf.get('queries'), ''))
self.onchange_cw()
def set_outputfilename(self):
if not hasattr(self, "output_filename") or not hasattr(self, "db_filename") or not hasattr(self, "mln_filename"):
return
mln = self.mln_container.selected_file.get()
db = self.db_container.selected_file.get()
if "" in (mln, db):
return
if self.selected_method.get():
method = InferenceMethods.clazz(self.selected_method.get())
methodid = InferenceMethods.id(method)
filename = config.query_output_filename(mln, methodid, db)
self.output_filename.set(filename)
def update_config(self):
self.config = PRACMLNConfig()
self.config["use_emln"] = self.use_emln.get()
self.config['mln'] = self.mln_container.selected_file.get().strip().lstrip('*')
self.config['emln'] = self.emln_container.selected_file.get().strip().lstrip('*')
self.config["db"] = self.db_container.selected_file.get().strip().lstrip('*')
self.config["method"] = InferenceMethods.id(self.selected_method.get().strip())
self.config["params"] = self.params.get().strip()
self.config["queries"] = self.query.get()
self.config["output_filename"] = self.output_filename.get().strip()
self.config["cw"] = self.closed_world.get()
self.config["cw_preds"] = self.cwPreds.get()
self.config['profile'] = self.profile.get()
self.config['logic'] = self.selected_logic.get()
self.config['grammar'] = self.selected_grammar.get()
self.config['multicore'] = self.multicore.get()
self.config['save'] = self.save.get()
self.config['ignore_unknown_preds'] = self.ignore_unknown_preds.get()
self.config['verbose'] = self.verbose.get()
self.config['window_loc'] = self.master.winfo_geometry()
self.config['dir'] = self.dir
self.project.queryconf = PRACMLNConfig()
self.project.queryconf.update(self.config.config.copy())
def write_gconfig(self, savegeometry=True):
self.gconf['prev_query_path'] = self.dir
self.gconf['prev_query_project': self.dir] = self.project.name
# save geometry
if savegeometry:
self.gconf['window_loc_query'] = self.master.geometry()
self.gconf.dump()
def infer(self, savegeometry=True, options={}, *args):
mln_content = self.mln_container.editor.get("1.0", END).encode('utf8').strip()
db_content = self.db_container.editor.get("1.0", END).encode('utf8').strip()
# create conf from current gui settings
self.update_config()
# write gui settings
self.write_gconfig(savegeometry=savegeometry)
# hide gui
self.master.withdraw()
try:
print headline('PRACMLN QUERY TOOL')
print
if options.get('mlnarg') is not None:
mlnobj = MLN(mlnfile=os.path.abspath(options.get('mlnarg')),
logic=self.config.get('logic', 'FirstOrderLogic'),
grammar=self.config.get('grammar', 'PRACGrammar'))
else:
mlnobj = parse_mln(mln_content, searchpaths=[self.dir],
projectpath=os.path.join(self.dir, self.project.name),
logic=self.config.get('logic', 'FirstOrderLogic'),
grammar=self.config.get('grammar', 'PRACGrammar'))
if options.get('emlnarg') is not None:
emln_content = mlnpath(options.get('emlnarg')).content
else:
emln_content = self.emln_container.editor.get("1.0", END).encode('utf8').strip()
if options.get('dbarg') is not None:
dbobj = Database.load(mlnobj, dbfiles=[options.get('dbarg')], ignore_unknown_preds=self.config.get('ignore_unknown_preds', True))
else:
out(self.config.get('ignore_unknown_preds', True))
dbobj = parse_db(mlnobj, db_content, ignore_unknown_preds=self.config.get('ignore_unknown_preds', True))
if options.get('queryarg') is not None:
self.config["queries"] = options.get('queryarg')
infer = MLNQuery(config=self.config, mln=mlnobj, db=dbobj, emln=emln_content)
result = infer.run()
# write to file if run from commandline, otherwise save result to project results
if options.get('outputfile') is not None:
output = StringIO.StringIO()
result.write(output)
with open(os.path.abspath(options.get('outputfile')), 'w') as f:
f.write(output.getvalue())
logger.info('saved result to {}'.format(os.path.abspath(options.get('outputfile'))))
elif self.save.get():
output = StringIO.StringIO()
result.write(output)
fname = self.output_filename.get()
self.project.add_result(fname, output.getvalue())
self.project.save(dirpath=self.dir)
logger.info('saved result to file results/{} in project {}'.format(fname, self.project.name))
else:
logger.debug('No output file given - results have not been saved.')
except:
traceback.print_exc()
# restore main window
sys.stdout.flush()
self.master.deiconify()
