def select_marked_region(self, attr = "unused"):
select = []
if len(self.marked) != 1:
raise Beep("Must be exactly one marked node!")
if len(self.current_nodes) != 1:
raise Beep("Must be exactly one selected node!")
import Path
a = Path.path_to(self.get_current())
b = Path.path_to(self.marked.keys()[0])
while a and b and a[0] == b[0]:
del a[0]
del b[0]
if a and b:
select = []
s = 0
a = a[0]
b = b[0]
for x in a.parentNode.childNodes:
if x == a:
s = not s
elif x == b:
s = not s
if s:
select.append(x)
self.move_to(select)
else:
raise Beep("One node is a parent of the other!")
def dict2dir(dir, dic, mode="w"):
dir = Path(dir)
if not dir.exists():
dir.mkdir()
for filename, content in dic.items():
p = Path(dir, filename)
if isinstance(content, dict):
dict2dir(p, content)
continue
f = open(p, mode)
f.write(content)
f.close()
def lbl_path_clicked(self, lbl):
btns = (Gtk.STOCK_CANCEL, Gtk.ResponseType.CANCEL, Gtk.STOCK_OPEN, Gtk.ResponseType.OK)
dialog = Gtk.FileChooserDialog("Choose a folder", self.win_main, Gtk.FileChooserAction.SELECT_FOLDER, btns)
startingPath = Path.full(self.prefs.get("last-opened-folder"))
dialog.set_current_folder(startingPath)
response = dialog.run()
if response == Gtk.ResponseType.OK:
pathStr = dialog.get_filename()
self.prefs.set("last-opened-folder", pathStr)
self.cbox_path.get_child().set_text(Path.pretty(pathStr))
dialog.destroy()
return True
def rf2():
"""
Submission: rf2_0704_04.csv
3000 trees
E_val: 0.871431
E_in: 0.999998
E_out:
30000 trees
E_val:
E_in:
E_out:
"""
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from sklearn.ensemble import RandomForestClassifier
X, y = dataset.load_train()
raw_scaler = StandardScaler()
raw_scaler.fit(X)
X_scaled = raw_scaler.transform(X)
rf = RandomForestClassifier(n_estimators=30000, oob_score=True, n_jobs=-1,
class_weight='auto', max_features='log2')
rf.fit(X_scaled, y)
logger.debug('Eval(oob): %f', rf.oob_score_)
logger.debug('Ein: %f', Util.auc_score(rf, X_scaled, y))
IO.cache(rf, Path.of_cache('rf.RandomForestClassifier.log2.pkl'))
IO.dump_submission(Pipeline([('scale_raw', raw_scaler),
('rf', rf)]), 'rf2_0704_04')
def btn_search_clicked(self, data):
tab = self.getActiveTab()
if tab.isSearching:
self.app.mbox.error("There is already a search happening in this tab.")
return
self.clear_results()
string = self.cbox_search.get_active_text()
path = Path.pretty(self.cbox_path.get_active_text())
self.cbox_path.get_child().set_text(path)
if not string.strip():
tab.getTextBuffer().set_text("You forgot to provide a search string")
self.cbox_search.get_child().grab_focus()
return True
if not path.strip():
tab.getTextBuffer().set_text("You forgot to provide a search folder")
self.cbox_path.get_child().grab_focus()
return True
self.add_path_history(path)
self.add_search_history(string)
# Pass parameters to tab's grep engine
tab.ge.exclude_dirs = self.prefs.get("exclude-dirs")
tab.ge.exclude_files = self.prefs.get("exclude-files")
tab.ge.max_matches = self.app.prefs.get("match-limit")
tab.ge.case_sensitive = self.chk_case.get_active()
# Update Tab label widgets
tab.setTitleText(string + " : " + path)
tab.setSpinner(True)
tab.startSearch(string, path, self.set_result_status)
def svc():
"""
Submission: svc_0703_04.csv
E_val:
E_in:
E_out:
"""
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from sklearn.svm import SVC
from sklearn.cross_validation import StratifiedKFold
from sklearn.grid_search import RandomizedSearchCV
from sklearn.calibration import CalibratedClassifierCV
from scipy.stats import expon
X, y = dataset.load_train()
raw_scaler = StandardScaler()
raw_scaler.fit(X)
X_scaled = raw_scaler.transform(X)
svc = SVC(kernel='linear', class_weight='auto')
rs = RandomizedSearchCV(svc, n_iter=50, scoring='roc_auc', n_jobs=-1,
cv=StratifiedKFold(y, 5),
param_distributions={'C': expon()})
rs.fit(X_scaled, y)
logger.debug('Got best SVC.')
logger.debug('Grid scores: %s', rs.grid_scores_)
logger.debug('Best score (E_val): %s', rs.best_score_)
logger.debug('Best params: %s', rs.best_params_)
IO.cache(rs, Path.of_cache('svc.RandomizedSearchCV.SVC.pkl'))
svc = rs.best_estimator_
IO.cache(rs, Path.of_cache('svc.SVC.pkl'))
isotonic = CalibratedClassifierCV(svc, cv=StratifiedKFold(y, 5),
method='isotonic')
isotonic.fit(X_scaled, y)
IO.cache(rs, Path.of_cache('svc.CalibratedClassifierCV.isotonic.pkl'))
logger.debug('Got best isotonic CalibratedClassifier.')
logger.debug('E_in (isotonic): %f', Util.auc_score(isotonic, X_scaled, y))
IO.dump_submission(Pipeline([('scale_raw', raw_scaler),
('svc', isotonic)]), 'svc_0703_04')
def activate(self, searchPath=None):
self.reload_search_box()
self.reload_path_box()
if searchPath:
self.cbox_path.get_child().set_text(Path.pretty(searchPath))
self.chk_case.set_active(self.prefs.get("case-sensitive"))
self.cbox_search.get_child().grab_focus()
self.gtk_window.show_all()
def execute(helix, argv):
path = ""
inp = " "
utili={"Author","About"}
utile={"Modules","Base","Lib","AppData","Manp"}
while inp != "":
inp = input("Insert the path of the file: ")
if inp == "":
break
elif os.path.isfile(inp):
path += inp + ","
else:
perror("File " + inp + " not found.")
names = extractFileName(path)
f = open(Path.path_tinst() + "manifest.ifest", "w")
f.write("Name:" + names.replace(".py", "").lower() + "\n")
temp = ""
while not 0 < len(temp)<=32 :
temp = input("Write you sign key: ")
f.write("Signed:" + temp + "\n")
for temp in utili:
inp=input(temp+": ")
if inp != "":
f.write(temp+": "+inp+"\n")
temp = ""
while temp == "":
temp = input("Write the tag of the module: ")
f.write("Tag:" + temp.replace(" ", "") + "\n")
for temp in utile:
inp=" "
while inp != "":
inp=input("What do you want to put in "+temp+"? (Separate them with \",\"): ").replace(" ","")
if inp!="" and names.__contains__(inp):
f.write(temp+":" + inp + "\n")
names.replace(inp+",","")
break
f.close()
zipf = zipfile.ZipFile(Path.path_tinst() + "package.zip", "w")
for fila in path.split(",")[:-1]:
zipf.write(fila, fila.split(os.sep)[-1])
zipf.write(Path.path_tinst() + "manifest.ifest", "manifest.ifest")
zipf.close()
os.remove(Path.path_tinst() + "manifest.ifest")
psuccess("File ready at: " + Path.path_tinst())
def _buildPathArea(self, obj, baseobject, isHole, start, getsim):
'''_buildPathArea(obj, baseobject, isHole, start, getsim) ... internal function.'''
PathLog.track()
area = Path.Area()
area.setPlane(PathUtils.makeWorkplane(baseobject))
area.add(baseobject)
areaParams = self.areaOpAreaParams(obj, isHole)
heights = [i for i in self.depthparams]
PathLog.debug('depths: {}'.format(heights))
area.setParams(**areaParams)
obj.AreaParams = str(area.getParams())
PathLog.debug("Area with params: {}".format(area.getParams()))
sections = area.makeSections(mode=0, project=self.areaOpUseProjection(obj), heights=heights)
PathLog.debug("sections = %s" % sections)
shapelist = [sec.getShape() for sec in sections]
PathLog.debug("shapelist = %s" % shapelist)
pathParams = self.areaOpPathParams(obj, isHole)
pathParams['shapes'] = shapelist
pathParams['feedrate'] = self.horizFeed
pathParams['feedrate_v'] = self.vertFeed
pathParams['verbose'] = True
pathParams['resume_height'] = obj.SafeHeight.Value
pathParams['retraction'] = obj.ClearanceHeight.Value
pathParams['return_end'] = True
# Note that emitting preambles between moves breaks some dressups and prevents path optimization on some controllers
pathParams['preamble'] = False
if not self.areaOpRetractTool(obj):
pathParams['threshold'] = 2.001 * self.radius
if self.endVector is not None:
pathParams['start'] = self.endVector
elif PathOp.FeatureStartPoint & self.opFeatures(obj) and obj.UseStartPoint:
pathParams['start'] = obj.StartPoint
obj.PathParams = str({key: value for key, value in pathParams.items() if key != 'shapes'})
PathLog.debug("Path with params: {}".format(obj.PathParams))
(pp, end_vector) = Path.fromShapes(**pathParams)
PathLog.debug('pp: {}, end vector: {}'.format(pp, end_vector))
self.endVector = end_vector
simobj = None
if getsim:
areaParams['Thicken'] = True
areaParams['ToolRadius'] = self.radius - self.radius * .005
area.setParams(**areaParams)
sec = area.makeSections(mode=0, project=False, heights=heights)[-1].getShape()
simobj = sec.extrude(FreeCAD.Vector(0, 0, baseobject.BoundBox.ZMax))
return pp, simobj
def rf():
"""
Submission: rf_0708_01.csv
3000 trees
E_val: 0.871837
E_in: 0.999998
E_out: 0.882316801296279
15000 trees
E_val: 0.872011
E_in: 0.999998
E_out: 0.8824869811781106
30000 trees
E_val: 0.871928
E_in:
E_out:
depth=4; 12000 trees
E_val: 0.969158
E_in:
E_out:
"""
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from sklearn.ensemble import RandomForestClassifier
import numpy as np
X, y = dataset.load_train(depth=1)
raw_scaler = StandardScaler()
raw_scaler.fit(np.r_[X, dataset.load_test()])
X_scaled = raw_scaler.transform(X)
del X
import gc
gc.collect()
rf = RandomForestClassifier(n_estimators=12000, oob_score=True, n_jobs=-1,
class_weight='auto')
rf.fit(X_scaled, y)
logger.debug('RandomForestClassifier fitted')
logger.debug('E_val(oob): %f', rf.oob_score_)
logger.debug('E_in(full): %f', Util.auc_score(rf, X_scaled, y))
X, y = dataset.load_train()
X_scaled = raw_scaler.transform(X)
logger.debug('E_in (depth=0): %f', Util.auc_score(rf, X_scaled, y))
del X
gc.collect()
IO.dump_submission(Pipeline([('scale_raw', raw_scaler),
('rf', rf)]), 'rf_0708_01')
logger.debug('caching fitted RandomForestClassifier')
IO.cache(rf, Path.of_cache('rf.RandomForestClassifier.12000.pkl'))
logger.debug('cached fitted RandomForestClassifier')
def __init__(self, reponame, append=True):
self.reponame = reponame
self.path = Path.path_evlog() + reponame
self.io = None
if append:
self.io = open(self.path, "a")
else:
self.io = open(self.path, "w")
self.io.write("[%s] %s:\n\n" % (EventCollector.__get_time(), reponame))
self.io.flush()
def cached_func(*args, **kwargs):
pkl_path = Path.of_cache(file_path + '.pkl')
data = fetch_cache(pkl_path)
if data is None:
data = func(*args, **kwargs)
cache(data, pkl_path)
return data
def lr_with_fs():
"""
Submission: lr_with_fs_0703_01.csv
E_val:
E_in:
E_out:
"""
from sklearn.linear_model import LogisticRegressionCV, LogisticRegression
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from sklearn.cross_validation import StratifiedKFold
from sklearn.feature_selection import RFECV
import pylab as pl
X, y = dataset.load_train()
raw_scaler = StandardScaler()
raw_scaler.fit(X)
X_scaled = raw_scaler.transform(X)
pkl_path = Path.of_cache('lr_with_fs.RFECV.pkl')
rfe = IO.fetch_cache(pkl_path)
if rfe is None:
rfe = RFECV(estimator=LogisticRegression(class_weight='auto'),
cv=StratifiedKFold(y, 5), scoring='roc_auc')
rfe.fit(X_scaled, y)
IO.cache(rfe, pkl_path)
print("Optimal number of features : %d" % rfe.n_features_)
# Plot number of features VS. cross-validation scores
pl.figure()
pl.xlabel("Number of features selected")
pl.ylabel("Cross validation score (AUC)")
pl.plot(range(1, len(rfe.grid_scores_) + 1), rfe.grid_scores_)
pl.savefig('lr_with_fs.refcv')
X_pruned = rfe.transform(X_scaled)
new_scaler = StandardScaler()
new_scaler.fit(X_pruned)
X_new = new_scaler.transform(X_pruned)
clf = LogisticRegressionCV(cv=10, scoring='roc_auc', n_jobs=-1)
clf.fit(X_new, y)
print('CV scores: %s' % clf.scores_)
print('Ein: %f' % Util.auc_score(clf, X_new, y))
IO.dump_submission(Pipeline([('scale_raw', raw_scaler),
('rfe', rfe),
('scale_new', new_scaler),
('lr', clf)]), 'lr_with_fs_0703_01')
def gbdt_search():
"""
Grid search for best n_estimators.
Best params: {'loss': 'deviance', 'n_estimators': 100}
Submission: gbdt_search_0707_01.csv
E_val: 0.883786743214
E_in: 0.887785
E_out: 0.8848760405053878
"""
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.preprocessing import StandardScaler
from sklearn.grid_search import GridSearchCV
from sklearn.cross_validation import StratifiedKFold
from sklearn.pipeline import Pipeline
import numpy as np
X, y = dataset.load_train()
raw_scaler = StandardScaler()
X_scaled = raw_scaler.fit_transform(X)
param_grid = {
'loss': ['deviance', 'exponential'],
'n_estimators': np.arange(100, 1001, 100)
}
params = {'learning_rate': 0.1, 'subsample': 0.5}
gb = GradientBoostingClassifier(**params)
grid = GridSearchCV(gb, param_grid, scoring='roc_auc', n_jobs=-1,
cv=StratifiedKFold(y, 5), refit=True, verbose=1)
grid.fit(X_scaled, y)
logger.debug('Got best GBDT.')
logger.debug('Grid scores: ')
for i, grid_score in enumerate(grid.grid_scores_):
print('\t%d00: %s' % (i + 1, grid_score))
logger.debug('Best score (E_val): %s', grid.best_score_)
logger.debug('Best params: %s', grid.best_params_)
IO.cache(grid, Path.of_cache('gbdt_search.GridSearchCV.pkl'))
X_test = dataset.load_test()
raw_scaler.fit(np.r_[X, X_test])
X_scaled = raw_scaler.transform(X)
params.update(grid.best_params_)
clf = GradientBoostingClassifier(**params)
clf.fit(X_scaled, y)
logger.debug('E_in: %f', Util.auc_score(grid, X_scaled, y))
IO.dump_submission(Pipeline([('scaler', raw_scaler),
('gbdt', grid)]), 'gbdt_search_0707_01')
def gbdt_grid():
"""
Grid search for best params.
Best params: {'learning_rate': 0.05, 'subsample': 0.3}
Submission: gbdt_grid_0706_03.csv
E_val: 0.860118290628
E_in: 0.882949
E_out: 0.8809314555068068
"""
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.preprocessing import StandardScaler
from sklearn.grid_search import GridSearchCV
from sklearn.cross_validation import StratifiedKFold
from sklearn.pipeline import Pipeline
import numpy as np
X, y = dataset.load_train()
raw_scaler = StandardScaler()
X_scaled = raw_scaler.fit_transform(X)
param_grid = {
'learning_rate': [0.05, 0.1],
'subsample': [0.3, 0.5, 0.7]
}
grid = GridSearchCV(GradientBoostingClassifier(n_estimators=3000),
param_grid, scoring='roc_auc', n_jobs=-1,
cv=StratifiedKFold(y, 5), refit=False, verbose=1)
grid.fit(X_scaled, y)
logger.debug('Got best GBDT.')
logger.debug('Grid scores: %s', grid.grid_scores_)
logger.debug('Best score (E_val): %s', grid.best_score_)
logger.debug('Best params: %s', grid.best_params_)
X_test = dataset.load_test()
raw_scaler.fit_transform(np.r_[X, X_test])
X_scaled = raw_scaler.transform(X)
clf = GradientBoostingClassifier(**grid.best_params_)
clf.fit(X_scaled, y)
IO.cache(grid, Path.of_cache('gbdt_grid.GridSearchCV.pkl'))
logger.debug('E_in: %f', Util.auc_score(clf, X_scaled, y))
IO.dump_submission(Pipeline([('scaler', raw_scaler),
('gbdt', clf)]), 'gbdt_grid_0706_03')
def gbdt():
"""
Submission: gbdt_0708_02.csv
n_estimators: 1000, learning_rate: 0.1, subsample: 0.5
E_val: 0.858235
E_in: 0.908622
E_out: 0.8873906795559863
n_estimators: 500, learning_rate: 0.1, subsample: 0.5
E_val: 0.870976
E_in: 0.899593
E_out: 0.88711101837711
n_estimators: 3000, learning_rate: 0.1, subsample: 0.5
E_val: 0.836049
E_in: 0.936056
E_out: 0.8833930861722906
depth=4; n_estimators: 1000, learning_rate: 0.1, subsample: 0.5
E_val: 0.947301
E_in: 0.983812 (on depth=4) // 0.85089646325496504 (on depth=0)
E_out: 0.8855316272153549
"""
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
import numpy as np
gb = GradientBoostingClassifier(n_estimators=1000, learning_rate=0.1,
subsample=0.5)
d = 0
X, y = dataset.load_train(depth=d)
raw_scaler = StandardScaler()
raw_scaler.fit(np.r_[X, dataset.load_test()])
X_scaled = raw_scaler.transform(X)
gb.fit(X_scaled, y)
IO.cache(gb, Path.of_cache('gbdt.GradientBoostingClassifier.d%d.pkl' % d))
IO.dump_submission(Pipeline([('scaler', raw_scaler), ('gbdt', gb)]),
'gbdt_0708_02.1000.d%d' % d)
logger.debug('E_in(full): %f', Util.auc_score(gb, X_scaled, y))
X, y = dataset.load_train()
X_scaled = raw_scaler.transform(X)
logger.debug('E_in(depth=0): %f', Util.auc_score(gb, X_scaled, y))
def extract(base_date):
pkl_path = Path.of_cache('sessions.%s.pkl' % base_date)
X = IO.fetch_cache(pkl_path)
if X is not None:
logger.debug('cache hit')
return X
logger.debug('cache missed')
logger.debug('prepare datasets ...')
enroll_all = IO.load_enrollments()
log_all = IO.load_logs()
log_all = log_all[log_all['time'] <= base_date]
logger.debug('datasets prepared')
check_dataframe = Util.dataframe_checker(logger)
n_proc = par.cpu_count()
params = [(log_all, dt)
for dt in [timedelta(hours=3), timedelta(hours=1),
timedelta(hours=12), timedelta(days=1),
timedelta(days=7)]]
log_problem = log_all[log_all['event'] == 'problem']
params += [(log_problem, dt)
for dt in [timedelta(hours=3), timedelta(hours=1)]]
pool = par.Pool(processes=min(n_proc, len(params)))
X = enroll_all
for dt, X_ in pool.map(__get_features__, params):
check_dataframe(X_, str(dt))
X = pd.merge(X, X_, how='left', on='enrollment_id')
pool.close()
pool.join()
del X['username']
del X['course_id']
X.fillna(0, inplace=True)
check_dataframe(X, 'X')
IO.cache(X, pkl_path)
return X
def erf():
"""
Submission: erf_0705_01.csv
3000 trees
E_val: 0.870800
E_in: 0.999998
E_out:
15000 trees
E_val:
E_in:
E_out:
"""
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from sklearn.ensemble import ExtraTreesClassifier
X, y = dataset.load_train()
raw_scaler = StandardScaler()
raw_scaler.fit(X)
X_scaled = raw_scaler.transform(X)
del X
rf = ExtraTreesClassifier(n_estimators=3000, oob_score=True, n_jobs=-1,
class_weight='auto', bootstrap=True)
rf.fit(X_scaled, y)
logger.debug('ExtraTreesClassifier fitted')
import gc
gc.collect()
logger.debug('Eval(oob): %f', rf.oob_score_)
logger.debug('Ein: %f', Util.auc_score(rf, X_scaled, y))
IO.dump_submission(Pipeline([('scale_raw', raw_scaler),
('erf', rf)]), 'erf_0705_01')
logger.debug('caching fitted ExtraTreesClassifier')
IO.cache(rf, Path.of_cache('erf.ExtraTreesClassifier.auto.pkl'))
logger.debug('cached fitted ExtraTreesClassifier')
def lr_with_fs1():
"""
Submission: lr_with_fs1_0703_03.csv
E_val:
E_in: 0.876954
E_out:
"""
from sklearn.linear_model import LogisticRegressionCV, LogisticRegression
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
X, y = dataset.load_train()
raw_scaler = StandardScaler()
raw_scaler.fit(X)
X_scaled = raw_scaler.transform(X)
pkl_path = Path.of_cache('lr_with_fs1.LR.FS.pkl')
lr = IO.fetch_cache(pkl_path)
if lr is None:
lr = LogisticRegression(class_weight='auto')
lr.fit(X_scaled, y)
IO.cache(lr, pkl_path)
X_pruned = lr.transform(X_scaled)
new_scaler = StandardScaler()
new_scaler.fit(X_pruned)
X_new = new_scaler.transform(X_pruned)
clf = LogisticRegressionCV(cv=10, scoring='roc_auc', n_jobs=-1)
clf.fit(X_new, y)
print('CV scores: %s' % clf.scores_)
print('Ein: %f' % Util.auc_score(clf, X_new, y))
IO.dump_submission(Pipeline([('scale_raw', raw_scaler),
('fs', lr),
('scale_new', new_scaler),
('lr', clf)]), 'lr_with_fs1_0703_03')
def load_test():
"""
Load dataset for testing.
Returns
-------
X: numpy ndarray, shape: (num_of_enrollments, num_of_features)
Rows of features.
"""
logger.debug('loading test set')
pkl_path = Path.of_cache('test_X.pkl')
X = IO.fetch_cache(pkl_path)
if X is None:
base_date = datetime(2014, 8, 1, 22, 0, 47)
X = IO.load_enrollment_test()
for f in features.METHODS:
X_ = f.extract(base_date)
if X_ is None:
print('%s returns None' % repr(f.__name__))
continue
if np.any(pd.isnull(X_)):
raise RuntimeError('%s can generate NA(s)' % repr(f.__name__))
X = pd.merge(X, X_, how='left', on='enrollment_id')
if np.any(pd.isnull(X)):
raise RuntimeError('%s does not generate features of all '
'enrollments' % repr(f.__name__))
del X['enrollment_id']
del X['username']
del X['course_id']
X = X.as_matrix()
IO.cache(X, pkl_path)
logger.debug('test set loaded')
return X
def erf2():
"""
Submission: erf2_0705_02.csv
3000 trees
E_val: [0.83766072, 0.89704662, 0.85299486, 0.8639041, 0.82955865]
E_in: 1.000000
E_out:
"""
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from sklearn.ensemble import ExtraTreesClassifier
from sklearn.cross_validation import cross_val_score
X, y = dataset.load_train()
raw_scaler = StandardScaler()
raw_scaler.fit(X)
X_scaled = raw_scaler.transform(X)
del X
import gc
gc.collect()
erf = ExtraTreesClassifier(n_estimators=3000, n_jobs=-1,
class_weight='auto')
scores = cross_val_score(erf, X_scaled, y, cv=5, n_jobs=-1)
logger.debug('CV: %s', scores)
logger.debug('Eval: %f', sum(scores) / len(scores))
erf.fit(X_scaled, y)
logger.debug('ExtraTreesClassifier fitted')
logger.debug('Ein: %f', Util.auc_score(erf, X_scaled, y))
IO.dump_submission(Pipeline([('scale_raw', raw_scaler),
('erf', erf)]), 'erf2_0705_02')
logger.debug('caching fitted ExtraTreesClassifier')
IO.cache(erf, Path.of_cache('erf2.ExtraTreesClassifier.auto.pkl'))
logger.debug('cached fitted ExtraTreesClassifier')
def grep(self, string, searchPath):
# Figure out if we're executig a local grep, or remote grep via ssh
#(user, host, searchPath) = self.remote_params(searchPath)
#self.is_remote = (user != None)
self.cancelled = False
self.check_regex(string)
searchPath = Path.full(searchPath)
# Construct args for grep command execution
argList = self.build_grep_args(string, searchPath)
#if self.is_remote:
# argList = self.build_ssh_args(user, host) + argList
# Run command
stdErrFile = tempfile.TemporaryFile()
stdOutFile = tempfile.TemporaryFile()
self.grepProc = subprocess.Popen(argList, stdout=stdOutFile, stderr=stdErrFile)
self.grepProc.wait()
# Handle case where operation was cancelled
if self.grepProc.returncode < 0:
return
# Read data from stdout/stderror
stdOutFile.seek(0)
output = stdOutFile.read().decode('utf-8', 'replace')
stdOutFile.close()
stdErrFile.seek(0)
errMsg = stdErrFile.read()
stdErrFile.close()
if self.grepProc.returncode == 1:
raise NoResultsException()
if self.grepProc.returncode > 1:
raise GrepException(errMsg)
return self.parse_output(output, searchPath, string, self.is_remote)
def knn():
"""
Submission: knn_0704_01.csv
E_val:
E_in:
E_out:
"""
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from sklearn.cross_validation import StratifiedKFold
from sklearn.grid_search import GridSearchCV
from sklearn.neighbors import KNeighborsClassifier
import numpy as np
X, y = dataset.load_train()
raw_scaler = StandardScaler()
raw_scaler.fit(X)
X_scaled = raw_scaler.transform(X)
knn = KNeighborsClassifier()
params = {
'n_neighbors': np.arange(5, 51, 5),
'weights': ['uniform', 'distance'],
'leaf_size': np.arange(30, 201, 10)
}
grid = GridSearchCV(knn, params, scoring='roc_auc', n_jobs=-1,
cv=StratifiedKFold(y, 5))
grid.fit(X_scaled, y)
logger.debug('Got best kNN.')
logger.debug('Grid scores: %s', grid.grid_scores_)
logger.debug('Best score (E_val): %s', grid.best_score_)
logger.debug('Best params: %s', grid.best_params_)
IO.cache(grid, Path.of_cache('knn.GridSearchCV.KNeighborsClassifier.pkl'))
IO.dump_submission(Pipeline([('scale_raw', raw_scaler),
('knn', grid)]), 'knn_0704_01')
def activate_result(self, itr):
if not self.results or self.results.is_remote: return True
if len(self.results) <= itr.get_line():
return True
result = self.results[itr.get_line()]
for tag in itr.get_tags(): # FIXME: Create a findTagByType function?
if tag.get_property('name') == 'link':
(itr, itr_end) = self.get_tag_pos(itr, tag)
filename = self.getTextBuffer().get_text(itr, itr_end, False)
filename = os.path.join(self.results.search_path, filename)
filename = Path.full(filename)
cmdList = []
for itm in self.app.prefs.get('editor').split(' '):
if '$1' in itm:
itm = itm.replace('$1', filename)
if '$n' in itm:
itm = itm.replace('$n', result.linenum)
cmdList.append(itm)
subprocess.Popen(cmdList)
return True
return False
def parse_output(self, output, searchPath, searchString, is_remote):
results = GrepResults()
results.search_path = searchPath
results.search_string = searchString
results.is_remote = is_remote
for line in output.splitlines():
(filename, sep, rest) = line.partition(':')
(linenum, sep, text) = rest.partition(':')
if (not filename) or (not text) or (not linenum):
continue
if (self.max_matches > 0) and len(results) == self.max_matches:
break
# Ignore case where we have malformed data in output
try:
int(linenum)
except:
continue
results.append(GrepResult(Path.relativeTo(filename, searchPath), text, linenum))
return results
def cmd(g, end, off):
return Path.Command(g, {'X': end.x, 'Y': end.y, 'Z': end.z, 'I': off.x, 'J': off.y, 'K': off.z})
def testLinuxCNC(self):
# first create something to generate a path for
box = self.doc.addObject("Part::Box", "Box")
# Create job and setup tool library + default tool
job = self.doc.addObject("Path::FeatureCompoundPython", "Job")
PathScripts.PathJob.ObjectPathJob(job, box, None)
PathScripts.PathToolController.CommandPathToolController.Create(
job.Name, False)
tool1 = Path.Tool()
tool1.Diameter = 5.0
tool1.Name = "Default Tool"
tool1.CuttingEdgeHeight = 15.0
tool1.ToolType = "EndMill"
tool1.Material = "HighSpeedSteel"
tc = FreeCAD.ActiveDocument.addObject("Path::FeaturePython", 'TC')
PathScripts.PathToolController.ToolController(tc)
PathScripts.PathUtils.addToJob(tc, "Job")
tc.Tool = tool1
tc.ToolNumber = 2
self.failUnless(True)
self.doc.getObject("TC").ToolNumber = 2
self.doc.recompute()
contour = self.doc.addObject("Path::FeaturePython", "Contour")
PathScripts.PathContour.ObjectContour(contour)
contour.Active = True
contour.ClearanceHeight = 20.0
contour.StepDown = 1.0
contour.StartDepth = 10.0
contour.FinalDepth = 0.0
contour.SafeHeight = 12.0
contour.OffsetExtra = 0.0
contour.Direction = 'CW'
contour.ToolController = tc
contour.UseComp = False
PathScripts.PathUtils.addToJob(contour)
PathScripts.PathContour.ObjectContour.setDepths(contour.Proxy, contour)
self.doc.recompute()
job.PostProcessor = 'linuxcnc'
job.PostProcessorArgs = '--no-header --no-line-numbers --no-comments --no-show-editor --output-precision=2'
post = PathScripts.PathPost.CommandPathPost()
(fail, gcode) = post.exportObjectsWith([job], job, False)
self.assertFalse(fail)
referenceFile = FreeCAD.getHomePath(
) + 'Mod/Path/PathTests/test_linuxcnc_00.ngc'
with open(referenceFile, 'r') as fp:
refGCode = fp.read()
# Use if this test fails in order to have a real good look at the changes
if False:
with open('tab.tmp', 'w') as fp:
fp.write(gcode)
if gcode != refGCode:
msg = ''.join(
difflib.ndiff(gcode.splitlines(True),
refGCode.splitlines(True)))
self.fail("linuxcnc output doesn't match: " + msg)
def PerformCutBoolean(self):
if self.resetSimulation:
self.resetSimulation = False
self.SetupSimulation()
if self.busy:
return
self.busy = True
cmd = self.operation.Path.Commands[self.icmd]
pathSolid = None
if cmd.Name in ["G0"]:
self.firstDrill = True
self.curpos = self.RapidMove(cmd, self.curpos)
if cmd.Name in ["G1", "G2", "G3"]:
self.firstDrill = True
if self.skipStep:
self.curpos = self.RapidMove(cmd, self.curpos)
else:
(pathSolid,
self.curpos) = self.GetPathSolid(self.tool, cmd, self.curpos)
if cmd.Name in ["G80"]:
self.firstDrill = True
if cmd.Name in ["G73", "G81", "G82", "G83"]:
if self.firstDrill:
extendcommand = Path.Command("G0", {"Z": cmd.r})
self.curpos = self.RapidMove(extendcommand, self.curpos)
self.firstDrill = False
extendcommand = Path.Command("G0", {
"X": cmd.x,
"Y": cmd.y,
"Z": cmd.r
})
self.curpos = self.RapidMove(extendcommand, self.curpos)
extendcommand = Path.Command("G1", {
"X": cmd.x,
"Y": cmd.y,
"Z": cmd.z
})
self.curpos = self.RapidMove(extendcommand, self.curpos)
extendcommand = Path.Command("G1", {
"X": cmd.x,
"Y": cmd.y,
"Z": cmd.r
})
self.curpos = self.RapidMove(extendcommand, self.curpos)
self.skipStep = False
if pathSolid is not None:
if self.debug:
self.cutSolid.Shape = pathSolid
newStock = self.stock.cut([pathSolid], 1e-3)
try:
if newStock.isValid():
self.stock = newStock.removeSplitter()
except Exception:
if self.debug:
print("invalid cut at cmd #{}".format(self.icmd))
if not self.disableAnim:
self.cutTool.Placement = FreeCAD.Placement(self.curpos,
self.stdrot)
self.icmd += 1
self.iprogress += 1
self.UpdateProgress()
if self.icmd >= len(self.operation.Path.Commands):
self.ioperation += 1
if self.ioperation >= len(self.activeOps):
self.EndSimulation()
return
else:
self.SetupOperation(self.ioperation)
if not self.disableAnim:
self.cutMaterial.Shape = self.stock
self.busy = False
def opExecute(self, obj):
'''opExecute(obj) ... process engraving operation'''
PathLog.track()
jobshapes = []
if len(obj.Base) >= 1: # user has selected specific subelements
PathLog.track(len(obj.Base))
wires = []
for base, subs in obj.Base:
edges = []
basewires = []
for feature in subs:
sub = base.Shape.getElement(feature)
if type(sub) == Part.Edge:
edges.append(sub)
elif sub.Wires:
basewires.extend(sub.Wires)
else:
basewires.append(Part.Wire(sub.Edges))
for edgelist in Part.sortEdges(edges):
basewires.append(Part.Wire(edgelist))
wires.extend(basewires)
jobshapes.append(Part.makeCompound(wires))
elif len(obj.BaseShapes) > 0: # user added specific shapes
jobshapes.extend([base.Shape for base in obj.BaseShapes])
else:
PathLog.track(self.model)
for base in self.model:
PathLog.track(base.Label)
if base.isDerivedFrom('Part::Part2DObject'):
jobshapes.append(base.Shape)
elif base.isDerivedFrom('Sketcher::SketchObject'):
jobshapes.append(base.Shape)
elif hasattr(base, 'ArrayType'):
jobshapes.append(base.Shape)
elif isinstance(base.Proxy, ArchPanel.PanelSheet):
for tag in self.model[0].Proxy.getTags(self.model[0],
transform=True):
tagWires = []
for w in tag.Wires:
tagWires.append(Part.Wire(w.Edges))
jobshapes.append(Part.makeCompound(tagWires))
if len(jobshapes) > 0:
PathLog.debug('processing {} jobshapes'.format(len(jobshapes)))
wires = []
for shape in jobshapes:
shapeWires = shape.Wires
PathLog.debug('jobshape has {} edges'.format(len(shape.Edges)))
self.commandlist.append(
Path.Command('G0', {
'Z': obj.ClearanceHeight.Value,
'F': self.vertRapid
}))
self.buildpathocc(obj, shapeWires, self.getZValues(obj))
wires.extend(shapeWires)
self.wires = wires
PathLog.debug('processing {} jobshapes -> {} wires'.format(
len(jobshapes), len(wires)))
# the last command is a move to clearance, which is automatically added by PathOp
if self.commandlist:
self.commandlist.pop()
# update base_date and enroll_ids
base_date -= Dw
enroll_ids = __enroll_ids_with_log__(log_all, enroll_ids, base_date)
logger.debug('train set loaded')
if np.any(np.isinf(X)):
logger.debug('train set has INF')
return X, y
if __name__ == '__main__':
import glob
if sys.argv[1] == 'clean':
cached_files = glob.glob(Path.of_cache('train_X*.pkl'))
cached_files += glob.glob(Path.of_cache('train_y*.pkl'))
cached_files += glob.glob(Path.of_cache('test_X.pkl'))
for f in cached_files:
print('Removing %s ...' % f)
os.remove(f)
elif sys.argv[1] == 'gen':
d = 1
if len(sys.argv) > 2:
d = int(sys.argv[2])
print('depth: %d' % d)
X, y = load_train(depth=d)
print('X.shape: %d x %d' % X.shape)
print('y.shape: %d' % y.shape)
X_test = load_test()
def execute(self, obj):
PathLog.track()
output = ""
if obj.Comment != "":
output += '(' + str(obj.Comment)+')\n'
toolLoad = obj.ToolController
if toolLoad is None or toolLoad.ToolNumber == 0:
FreeCAD.Console.PrintError("No Tool Controller is selected. We need a tool to build a Path.")
return
else:
self.vertFeed = toolLoad.VertFeed.Value
self.horizFeed = toolLoad.HorizFeed.Value
self.vertRapid = toolLoad.VertRapid.Value
self.horizRapid = toolLoad.HorizRapid.Value
tool = toolLoad.Proxy.getTool(toolLoad)
if not tool or tool.Diameter == 0:
FreeCAD.Console.PrintError("No Tool found or diameter is zero. We need a tool to build a Path.")
return
else:
self.radius = tool.Diameter/2
if len(obj.Names) == 0:
parentJob = PathUtils.findParentJob(obj)
if parentJob is None:
return
baseobject = parentJob.Base
if baseobject is None:
return
# Arch PanelSheet
if hasattr(baseobject, "Proxy"):
holes = []
if isinstance(baseobject.Proxy, ArchPanel.PanelSheet):
baseobject.Proxy.execute(baseobject)
i = 0
holeshapes = baseobject.Proxy.getHoles(baseobject, transform=True)
tooldiameter = obj.ToolController.Proxy.getTool(obj.ToolController).Diameter
for holeshape in holeshapes:
PathLog.debug('Entering new HoleShape')
for wire in holeshape.Wires:
PathLog.debug('Entering new Wire')
for edge in wire.Edges:
if PathUtils.isDrillable(baseobject, edge, tooldiameter):
PathLog.debug('Found drillable hole edges: {}'.format(edge))
x = edge.Curve.Center.x
y = edge.Curve.Center.y
diameter = edge.BoundBox.XLength
holes.append({'x': x, 'y': y, 'featureName': baseobject.Name+'.'+'Drill'+str(i), 'd': diameter})
i = i + 1
else:
holes = self.findHoles(obj, baseobject.Shape)
for i in range(len(holes)):
holes[i]['featureName'] = baseobject.Name + '.' + holes[i]['featureName']
names = []
positions = []
enabled = []
diameters = []
for h in holes:
if len(names) == 0:
self.findHeights(obj, baseobject, h)
names.append(h['featureName'])
positions.append(FreeCAD.Vector(h['x'], h['y'], 0))
enabled.append(1)
diameters.append(h['d'])
obj.Names = names
obj.Positions = positions
obj.Enabled = enabled
obj.Diameters = diameters
locations = []
output = "(Begin Drilling)\n"
for i in range(len(obj.Names)):
if obj.Enabled[i] > 0:
locations.append({'x': obj.Positions[i].x, 'y': obj.Positions[i].y})
if len(locations) > 0:
locations = PathUtils.sort_jobs(locations, ['x', 'y'])
output += "G90 G98\n"
# rapid to clearance height
output += "G0 Z" + str(obj.ClearanceHeight.Value) + "F " + PathUtils.fmt(self.vertRapid) + "\n"
# rapid to first hole location, with spindle still retracted:
p0 = locations[0]
output += "G0 X" + fmt(p0['x']) + " Y" + fmt(p0['y']) + "F " + PathUtils.fmt(self.horizRapid) + "\n"
# move tool to clearance plane
output += "G0 Z" + fmt(obj.ClearanceHeight.Value) + "F " + PathUtils.fmt(self.vertRapid) + "\n"
pword = ""
qword = ""
if obj.PeckDepth.Value > 0 and obj.PeckEnabled:
cmd = "G83"
qword = " Q" + fmt(obj.PeckDepth.Value)
elif obj.DwellTime > 0 and obj.DwellEnabled:
cmd = "G82"
pword = " P" + fmt(obj.DwellTime)
else:
cmd = "G81"
for p in locations:
output += cmd + \
" X" + fmt(p['x']) + \
" Y" + fmt(p['y']) + \
" Z" + fmt(obj.FinalDepth.Value) + qword + pword + \
" R" + str(obj.RetractHeight.Value) + \
" F" + str(self.vertFeed) + "\n" \
output += "G80\n"
if obj.Active:
path = Path.Path(output)
obj.Path = path
obj.ViewObject.Visibility = True
else:
path = Path.Path("(inactive operation)")
obj.Path = path
obj.ViewObject.Visibility = False
def Execute(op, obj):
global sceneGraph
global topZ
sceneGraph = FreeCADGui.ActiveDocument.ActiveView.getSceneGraph()
Console.PrintMessage("*** Adaptive toolpath processing started...\n")
#hide old toolpaths during recalculation
obj.Path = Path.Path("(Calculating...)")
#store old visibility state
job = op.getJob(obj)
oldObjVisibility = obj.ViewObject.Visibility
oldJobVisibility = job.ViewObject.Visibility
obj.ViewObject.Visibility = False
job.ViewObject.Visibility = False
FreeCADGui.updateGui()
try:
helixDiameter = obj.HelixDiameterLimit.Value
topZ = op.stock.Shape.BoundBox.ZMax
obj.Stopped = False
obj.StopProcessing = False
if obj.Tolerance < 0.001:
obj.Tolerance = 0.001
pathArray = []
for base, subs in obj.Base:
for sub in subs:
shape = base.Shape.getElement(sub)
for edge in shape.Edges:
pathArray.append([discretize(edge)])
#pathArray=connectEdges(edges)
path2d = convertTo2d(pathArray)
stockPaths = []
if op.stock.StockType == "CreateCylinder":
stockPaths.append([discretize(op.stock.Shape.Edges[0])])
else:
stockBB = op.stock.Shape.BoundBox
v = []
v.append(FreeCAD.Vector(stockBB.XMin, stockBB.YMin, 0))
v.append(FreeCAD.Vector(stockBB.XMax, stockBB.YMin, 0))
v.append(FreeCAD.Vector(stockBB.XMax, stockBB.YMax, 0))
v.append(FreeCAD.Vector(stockBB.XMin, stockBB.YMax, 0))
v.append(FreeCAD.Vector(stockBB.XMin, stockBB.YMin, 0))
stockPaths.append([v])
stockPath2d = convertTo2d(stockPaths)
opType = area.AdaptiveOperationType.ClearingInside
if obj.OperationType == "Clearing":
if obj.Side == "Outside":
opType = area.AdaptiveOperationType.ClearingOutside
else:
opType = area.AdaptiveOperationType.ClearingInside
else: # profiling
if obj.Side == "Outside":
opType = area.AdaptiveOperationType.ProfilingOutside
else:
opType = area.AdaptiveOperationType.ProfilingInside
keepToolDownRatio = 3.0
if hasattr(obj, 'KeepToolDownRatio'):
keepToolDownRatio = float(obj.KeepToolDownRatio)
# put here all properties that influence calculation of adaptive base paths,
inputStateObject = {
"tool": float(op.tool.Diameter),
"tolerance": float(obj.Tolerance),
"geometry": path2d,
"stockGeometry": stockPath2d,
"stepover": float(obj.StepOver),
"effectiveHelixDiameter": float(helixDiameter),
"operationType": obj.OperationType,
"side": obj.Side,
"forceInsideOut": obj.ForceInsideOut,
"keepToolDownRatio": keepToolDownRatio,
"stockToLeave": float(obj.StockToLeave)
}
inputStateChanged = False
adaptiveResults = None
if obj.AdaptiveOutputState != None and obj.AdaptiveOutputState != "":
adaptiveResults = obj.AdaptiveOutputState
if json.dumps(obj.AdaptiveInputState) != json.dumps(inputStateObject):
inputStateChanged = True
adaptiveResults = None
# progress callback fn, if return true it will stop processing
def progressFn(tpaths):
for path in tpaths: #path[0] contains the MotionType, #path[1] contains list of points
if path[0] == area.AdaptiveMotionType.Cutting:
sceneDrawPath(path[1], (0, 0, 1))
else:
sceneDrawPath(path[1], (1, 0, 1))
FreeCADGui.updateGui()
return obj.StopProcessing
start = time.time()
if inputStateChanged or adaptiveResults == None:
a2d = area.Adaptive2d()
a2d.stepOverFactor = 0.01 * obj.StepOver
a2d.toolDiameter = float(op.tool.Diameter)
a2d.helixRampDiameter = helixDiameter
a2d.keepToolDownDistRatio = keepToolDownRatio
a2d.stockToLeave = float(obj.StockToLeave)
a2d.tolerance = float(obj.Tolerance)
a2d.forceInsideOut = obj.ForceInsideOut
a2d.opType = opType
# EXECUTE
results = a2d.Execute(stockPath2d, path2d, progressFn)
# need to convert results to python object to be JSON serializable
adaptiveResults = []
for result in results:
adaptiveResults.append({
"HelixCenterPoint":
result.HelixCenterPoint,
"StartPoint":
result.StartPoint,
"AdaptivePaths":
result.AdaptivePaths,
"ReturnMotionType":
result.ReturnMotionType
})
# GENERATE
GenerateGCode(op, obj, adaptiveResults, helixDiameter)
if not obj.StopProcessing:
Console.PrintMessage("*** Done. Elapsed time: %f sec\n\n" %
(time.time() - start))
obj.AdaptiveOutputState = adaptiveResults
obj.AdaptiveInputState = inputStateObject
else:
Console.PrintMessage(
"*** Processing cancelled (after: %f sec).\n\n" %
(time.time() - start))
finally:
obj.ViewObject.Visibility = oldObjVisibility
job.ViewObject.Visibility = oldJobVisibility
sceneClean()
def opExecute(self, obj, getsim=False):
'''opExecute(obj, getsim=False) ... implementation of Path.Area ops.
determines the parameters for _buildPathArea().
Do not overwrite, implement
areaOpAreaParams(obj, isHole) ... op specific area param dictionary
areaOpPathParams(obj, isHole) ... op specific path param dictionary
areaOpShapes(obj) ... the shape for path area to process
areaOpUseProjection(obj) ... return true if operation can use projection
instead.'''
PathLog.track()
self.endVector = None
PathLog.debug("opExecute() in PathAreaOp.py")
# Instantiate class variables for operation reference
self.rotateFlag = False
self.modelName = None
self.leadIn = 2.0 # safOfset / 2.0
# Initialize depthparams
finish_step = obj.FinishDepth.Value if hasattr(obj,
"FinishDepth") else 0.0
self.depthparams = PathUtils.depth_params(
clearance_height=obj.ClearanceHeight.Value,
safe_height=obj.SafeHeight.Value,
start_depth=obj.StartDepth.Value,
step_down=obj.StepDown.Value,
z_finish_step=finish_step,
final_depth=obj.FinalDepth.Value,
user_depths=None)
# Recalculate operation heights for rotational operation
if obj.UseRotation != 'Off':
# Calculate operation heights based upon rotation radii
opHeights = self.opDetermineRotationRadii(
obj
) # return is [(xRotRad, yRotRad, zRotRad), (clrOfst, safOfst)]
(xRotRad, yRotRad, zRotRad) = opHeights[0]
(clrOfst, safOfset) = opHeights[1]
# self.leadIn = 0.0 #safOfset / 2.0
# Set clearnance and safe heights based upon rotation radii
obj.ClearanceHeight.Value = xRotRad + clrOfst
obj.SafeHeight.Value = xRotRad + safOfset
if yRotRad > xRotRad:
obj.ClearanceHeight.Value = yRotRad + clrOfst
obj.SafeHeight.Value = yRotRad + safOfset
# Set axial feed rates based upon horizontal feed rates
safeCircum = 2 * math.pi * obj.SafeHeight.Value
self.axialFeed = 360 / safeCircum * self.horizFeed
self.axialRapid = 360 / safeCircum * self.horizRapid
# Set start point
if PathOp.FeatureStartPoint & self.opFeatures(
obj) and obj.UseStartPoint:
start = obj.StartPoint
else:
start = None
aOS = self.areaOpShapes(
obj) # list of tuples (shape, isHole, sub, angle, axis, tag)
# Adjust tuples length received from other PathWB tools/operations beside PathPocketShape
shapes = []
for shp in aOS:
if len(shp) == 2:
(fc, iH) = shp
tup = fc, iH, 'notPocket', 0.0, 'X'
shapes.append(tup)
else:
shapes.append(shp)
if len(shapes) > 1:
jobs = [{
'x': s[0].BoundBox.XMax,
'y': s[0].BoundBox.YMax,
'shape': s
} for s in shapes]
jobs = PathUtils.sort_jobs(jobs, ['x', 'y'])
shapes = [j['shape'] for j in jobs]
sims = []
for (shape, isHole, sub, angle, axis) in shapes:
startDep = obj.StartDepth.Value # + safOfset
safeDep = obj.SafeHeight.Value
clearDep = obj.ClearanceHeight.Value
finalDep = obj.FinalDepth.Value # finDep
finish_step = obj.FinishDepth.Value if hasattr(
obj, "FinishDepth") else 0.0
self.depthparams = PathUtils.depth_params(
clearance_height=clearDep, # obj.ClearanceHeight.Value
safe_height=safeDep, # obj.SafeHeight.Value
start_depth=startDep,
step_down=obj.StepDown.Value,
z_finish_step=finish_step, # obj.FinalDepth.Value
final_depth=finalDep,
user_depths=None)
try:
(pp, sim) = self._buildPathArea(obj, shape, isHole, start,
getsim)
ppCmds = pp.Commands
if obj.UseRotation != 'Off' and self.rotateFlag is True:
# Rotate model to index for cut
axisOfRot = 'A'
if axis == 'Y':
axisOfRot = 'B'
# Reverse angle temporarily to match model. Error in FreeCAD render of B axis rotations
if obj.B_AxisErrorOverride is True:
angle = -1 * angle
# Rotate Model to correct angle
ppCmds.insert(
0,
Path.Command('G0', {
axisOfRot: angle,
'F': self.axialFeed
}))
# Raise cutter to safe depth and return index to starting position
ppCmds.append(
Path.Command('G0', {
'Z': safeDep,
'F': self.vertRapid
}))
ppCmds.append(
Path.Command('G0', {
axisOfRot: 0.0,
'F': self.axialFeed
}))
# Save gcode commands to object command list
self.commandlist.extend(ppCmds)
sims.append(sim)
except Exception as e:
FreeCAD.Console.PrintError(e)
FreeCAD.Console.PrintError(
"Something unexpected happened. Check project and tool config."
)
if self.areaOpRetractTool(obj):
self.endVector = None
# Raise cutter to safe height and rotate back to original orientation
if self.rotateFlag is True:
self.commandlist.append(
Path.Command('G0', {
'Z': obj.SafeHeight.Value,
'F': self.vertRapid
}))
self.commandlist.append(
Path.Command('G0', {
'A': 0.0,
'F': self.axialFeed
}))
self.commandlist.append(
Path.Command('G0', {
'B': 0.0,
'F': self.axialFeed
}))
FreeCAD.ActiveDocument.getObject(self.modelName).purgeTouched()
PathLog.debug("obj.Name: " + str(obj.Name))
return sims
def execute(self, obj):
PathLog.track()
output = ""
if obj.Comment != "":
output += '(' + str(obj.Comment) + ')\n'
toolLoad = obj.ToolController
if toolLoad is None or toolLoad.ToolNumber == 0:
FreeCAD.Console.PrintError(
"No Tool Controller is selected. We need a tool to build a Path."
)
return
else:
self.vertFeed = toolLoad.VertFeed.Value
self.horizFeed = toolLoad.HorizFeed.Value
self.vertRapid = toolLoad.VertRapid.Value
self.horizRapid = toolLoad.HorizRapid.Value
tool = toolLoad.Proxy.getTool(
toolLoad) # PathUtils.getTool(obj, toolLoad.ToolNumber)
if not tool or tool.Diameter == 0:
FreeCAD.Console.PrintError(
"No Tool found or diameter is zero. We need a tool to build a Path."
)
return
else:
self.radius = tool.Diameter / 2
wires = []
parentJob = PathUtils.findParentJob(obj)
if parentJob is None:
return
baseobject = parentJob.Base
if baseobject is None:
return
try:
if baseobject.isDerivedFrom('Sketcher::SketchObject') or \
baseobject.isDerivedFrom('Part::Part2DObject') or \
hasattr(baseobject, 'ArrayType'):
output += "G0 Z" + PathUtils.fmt(
obj.ClearanceHeight.Value) + "F " + PathUtils.fmt(
self.vertRapid) + "\n"
# we only consider the outer wire if this is a Face
for w in baseobject.Shape.Wires:
tempedges = PathUtils.cleanedges(w.Edges, 0.5)
wires.append(Part.Wire(tempedges))
if obj.Algorithm == "OCC Native":
output += self.buildpathocc(obj, wires)
elif isinstance(baseobject.Proxy,
ArchPanel.PanelSheet): # process the sheet
shapes = baseobject.Proxy.getTags(baseobject, transform=True)
for shape in shapes:
output += "G0 Z" + PathUtils.fmt(
obj.ClearanceHeight.Value) + "F " + PathUtils.fmt(
self.vertRapid) + "\n"
for w in shape.Wires:
tempedges = PathUtils.cleanedges(w.Edges, 0.5)
wires.append(Part.Wire(tempedges))
if obj.Algorithm == "OCC Native":
output += self.buildpathocc(obj, wires)
else:
raise ValueError('Unknown baseobject type for engraving')
output += "G0 Z" + PathUtils.fmt(
obj.ClearanceHeight.Value) + "F " + PathUtils.fmt(
self.vertRapid) + "\n"
except:
FreeCAD.Console.PrintError(
"The Job Base Object has no engraveable element. Engraving operation will produce no output."
)
# print output
if output == "":
output += "(No commands processed)"
if obj.Active:
path = Path.Path(output)
obj.Path = path
obj.ViewObject.Visibility = True
else:
path = Path.Path("(inactive operation)")
obj.Path = path
obj.ViewObject.Visibility = False
def parse(pathobj):
# pylint: disable=global-statement
global PRECISION
global MODAL
global OUTPUT_DOUBLES
global UNIT_FORMAT
global UNIT_SPEED_FORMAT
out = ""
lastcommand = None
precision_string = '.' + str(PRECISION) + 'f'
currLocation = {} # keep track for no doubles
# the order of parameters
# linuxcnc doesn't want K properties on XY plane Arcs need work.
params = [
'X', 'Y', 'Z', 'A', 'B', 'C', 'I', 'J', 'F', 'S', 'T', 'Q', 'R', 'L',
'H', 'D', 'P'
]
firstmove = Path.Command("G0", {"X": -1, "Y": -1, "Z": -1, "F": 0.0})
currLocation.update(firstmove.Parameters) # set First location Parameters
if hasattr(pathobj, "Group"): # We have a compound or project.
# if OUTPUT_COMMENTS:
# out += linenumber() + "(compound: " + pathobj.Label + ")\n"
for p in pathobj.Group:
out += parse(p)
return out
else: # parsing simple path
# groups might contain non-path things like stock.
if not hasattr(pathobj, "Path"):
return out
# if OUTPUT_COMMENTS:
# out += linenumber() + "(" + pathobj.Label + ")\n"
for c in pathobj.Path.Commands:
outstring = []
command = c.Name
outstring.append(command)
# if modal: suppress the command if it is the same as the last one
if MODAL is True:
if command == lastcommand:
outstring.pop(0)
if c.Name[0] == '(' and not OUTPUT_COMMENTS: # command is a comment
continue
# Now add the remaining parameters in order
for param in params:
if param in c.Parameters:
if param == 'F' and (
currLocation[param] != c.Parameters[param]
or OUTPUT_DOUBLES):
if c.Name not in [
"G0", "G00"
]: # linuxcnc doesn't use rapid speeds
speed = Units.Quantity(c.Parameters['F'],
FreeCAD.Units.Velocity)
if speed.getValueAs(UNIT_SPEED_FORMAT) > 0.0:
outstring.append(param + format(
float(speed.getValueAs(UNIT_SPEED_FORMAT)),
precision_string))
else:
continue
elif param == 'T':
outstring.append(param + str(int(c.Parameters['T'])))
elif param == 'H':
outstring.append(param + str(int(c.Parameters['H'])))
elif param == 'D':
outstring.append(param + str(int(c.Parameters['D'])))
elif param == 'S':
outstring.append(param + str(int(c.Parameters['S'])))
else:
if (not OUTPUT_DOUBLES) and (
param
in currLocation) and (currLocation[param]
== c.Parameters[param]):
continue
else:
pos = Units.Quantity(c.Parameters[param],
FreeCAD.Units.Length)
outstring.append(
param +
format(float(pos.getValueAs(UNIT_FORMAT)),
precision_string))
# store the latest command
lastcommand = command
currLocation.update(c.Parameters)
# Check for Tool Change:
if command == 'M6':
# stop the spindle
out += linenumber() + "M5\n"
for line in TOOL_CHANGE.splitlines(True):
out += linenumber() + line
# add height offset
if USE_TLO:
tool_height = '\nG43 H' + str(int(c.Parameters['T']))
outstring.append(tool_height)
if command == "message":
if OUTPUT_COMMENTS is False:
out = []
else:
outstring.pop(0) # remove the command
# prepend a line number and append a newline
if len(outstring) >= 1:
if OUTPUT_LINE_NUMBERS:
outstring.insert(0, (linenumber()))
# append the line to the final output
for w in outstring:
out += w + COMMAND_SPACE
# Note: Do *not* strip `out`, since that forces the allocation
# of a contiguous string & thus quadratic complexity.
out += "\n"
return out
def extract(base_date):
pkl_path = Path.of_cache('events.%s.pkl' % base_date)
X = IO.fetch_cache(pkl_path)
if X is not None:
logger.debug('cache hit')
return X
logger.debug('cache missed')
logger.debug('prepare datasets ...')
enroll_all = IO.load_enrollments()
log_all = IO.load_logs()
log_all = log_all[log_all['time'] <= base_date]
log_all['source_event'] = log_all['source'] + '-' + log_all['event']
log_all = pd.merge(log_all, enroll_duration(log_all), how='left',
on='enrollment_id')
log_all['day_diff'] = (log_all['time'] - log_all['st']).dt.days
log_all['week_diff'] = log_all['day_diff'] // 7
log_all['count'] = 1
logger.debug('datasets prepared')
log_last_week = log_all[
log_all['time'] > log_all['et'] - timedelta(days=7)].copy()
log_2nd_last_week = log_all[
(log_all['time'] > log_all['et'] - timedelta(days=14)) &
(log_all['time'] <= log_all['et'] - timedelta(days=7))].copy()
log_first_week = log_all[
log_all['time'] < log_all['st'] + timedelta(days=7)].copy()
# 0~107: 用户在该课程的操作数量（按event_source序对统计），enrollment最后一周、
# 倒数第二周、第一周、总体，占该用户在所有课程的比例，占该课程所有用户的比例
# 114~125: numbers of events in the last week, the first week, and the week
# before the last week of the enrollment; ratio on all courses by user;
# ratio on all users by course
EUC_last_week = count_source_event_features(log_last_week, enroll_all)
EUC_2nd_last_week = count_source_event_features(log_2nd_last_week,
enroll_all)
EUC_first_week = count_source_event_features(log_first_week, enroll_all)
EUC_all = count_source_event_features(log_all, enroll_all)
logger.debug('0~107, 114~125')
# 108~111: 用户有行为的课程数量，用户行为的最后一周、倒数第二周、第一周、总体
C_last_week = count_courses_by_user(log_last_week, enroll_all)
C_2nd_last_week = count_courses_by_user(log_2nd_last_week, enroll_all)
C_first_week = count_courses_by_user(log_first_week, enroll_all)
C_all = count_courses_by_user(log_all, enroll_all)
logger.debug('108~111')
# 112: 课程的选课人数
U_count = pd.merge(
log_all, enroll_all, how='left', on='enrollment_id')\
.groupby('course_id').agg({'username': lambda us: len(np.unique(us))})\
.reset_index().rename(columns={'username': '******'})
logger.debug('112')
def f(group):
from scipy.stats import linregress
x = group['week_diff']
c = group['count']
if len(c) < 3:
p = [0, 0]
else:
p = np.polyfit(x, c, 2)
import warnings
warnings.simplefilter('ignore', np.RankWarning)
return pd.Series(
[linregress(x, c)[0], np.mean(c), np.std(c), np.max(c),
np.min(c), p[1], p[0]],
index=['slope', 'mean', 'std', 'max', 'min', 'b', 'c'])
# 113: trending slope of the weekly number of events within the enrollment
# 126~129: average, standard deviation, maximal, minimal weekly numbers of
# events in the enrollment period
# 130~131: coefficients b and c in the polynomial model y = a + bx + cx**2,
# where x is week number (all start from 0), and y is the weekly number of
# events
W_stats = log_all.groupby(['enrollment_id', 'week_diff'])\
.agg({'count': np.sum}).reset_index().groupby('enrollment_id')\
.apply(f).reset_index()
W_stats.fillna(0, inplace=True)
W_stats.ix[np.isinf(W_stats['c']), 'c'] = np.nanmax(
W_stats[~np.isinf(W_stats['c'])])
logger.debug('113, 126~129, 130~131')
log_all['week_day'] = log_all['time'].dt.dayofweek
log_all['hour'] = log_all['time'].dt.hour
# 132~138: 7 counts of events in Monday to Sunday
_E_TOTAL, _, _ = count_source_event(log_all, enroll_all)
_E_TOTAL.rename(
columns=lambda c: c + '_total' if c != 'enrollment_id' else c,
inplace=True)
WD = enroll_all
for w in range(7):
_E, _, _ = count_source_event(log_all[log_all['week_day'] == w],
enroll_all)
_E_W = pd.merge(_E, _E_TOTAL, how='left', on='enrollment_id')
for se in SE_PAIRS:
_E_W[se + '_ratio_se'] = _E_W[se] / _E_W[se + '_total']
_E_W[se + '_ratio_day'] = _E_W[se] / _E_W['count']
for c in _E_W.columns.values:
if c.endswith('_total'):
del _E_W[c]
WD = pd.merge(WD, _E_W, how='left', on='enrollment_id')
del WD['username']
del WD['course_id']
logger.debug('132~138')
# 139~162: 24 counts of events in hour 0-23
H = enroll_all
for h in range(24):
_E, _, _ = count_source_event(log_all[log_all['hour'] == h],
enroll_all)
_E_H = pd.merge(_E, _E_TOTAL, how='left', on='enrollment_id')
for se in SE_PAIRS:
_E_H[se + '_ratio_se'] = _E_H[se] / _E_H[se + '_total']
_E_H[se + '_ratio_hour'] = _E_H[se] / _E_H['count']
for c in _E_H.columns.values:
if c.endswith('_total'):
del _E_H[c]
H = pd.merge(H, _E_H, how='left', on='enrollment_id')
del H['username']
del H['course_id']
logger.debug('139~162')
_EVENT_TOTAL = log_all.groupby('enrollment_id').agg({'count': np.sum})
_EVENT_TOTAL.columns = ['total_events_count']
_EVENT_TOTAL.reset_index(inplace=True)
event_counts = log_all.groupby(['enrollment_id', 'event'])\
.agg({'count': np.sum}).reset_index()
event_types = ['access', 'page_close', 'problem', 'video', 'discussion',
'navigate', 'wiki']
for e in event_types:
event_counts[e] = 0
event_counts.loc[event_counts['event'] == e, e] += \
event_counts[event_counts['event'] == e]['count']
del event_counts['event']
del event_counts['count']
# 163~169: 7 counts of event types
E = event_counts.groupby('enrollment_id').agg(np.sum).reset_index()
E = pd.merge(E, _EVENT_TOTAL, how='left', on='enrollment_id')
for e in event_types:
E[e + '_ratio'] = E[e] / E['total_events_count']
del E['total_events_count']
logger.debug('163~169')
source_counts = log_all.groupby(['enrollment_id', 'source'])\
.agg({'count': np.sum}).reset_index()
for s in ['server', 'browser']:
source_counts[s] = 0
source_counts.loc[source_counts['source'] == s, s] += \
source_counts[source_counts['source'] == s]['count']
del source_counts['source']
del source_counts['count']
# 170~171: 2 counts of source types
S = source_counts.groupby('enrollment_id').agg(np.sum).reset_index()
S = pd.merge(S, _EVENT_TOTAL, how='left', on='enrollment_id')
for s in ['server', 'browser']:
S[s + '_ratio'] = S[s] / S['total_events_count']
del S['total_events_count']
logger.debug('170~171')
logger.debug('composing to features')
check_dataframe = Util.dataframe_checker(logger)
check_dataframe(EUC_last_week, 'EUC_last_week')
X = pd.merge(enroll_all, EUC_last_week, how='left', on='enrollment_id')
check_dataframe(EUC_2nd_last_week, 'EUC_2nd_last_week')
X = pd.merge(X, EUC_2nd_last_week, how='left', on='enrollment_id')
check_dataframe(EUC_first_week, 'EUC_first_week')
X = pd.merge(X, EUC_first_week, how='left', on='enrollment_id')
check_dataframe(EUC_all, 'EUC_all')
X = pd.merge(X, EUC_all, how='left', on='enrollment_id')
check_dataframe(C_last_week, 'C_last_week')
X = pd.merge(X, C_last_week, how='left', on='username')
check_dataframe(C_2nd_last_week, 'C_2nd_last_week')
X = pd.merge(X, C_2nd_last_week, how='left', on='username')
check_dataframe(C_first_week, 'C_first_week')
X = pd.merge(X, C_first_week, how='left', on='username')
check_dataframe(C_all, 'C_all')
X = pd.merge(X, C_all, how='left', on='username')
check_dataframe(U_count, 'U_count')
X = pd.merge(X, U_count, how='left', on='course_id')
check_dataframe(W_stats, 'W_stats')
X = pd.merge(X, W_stats, how='left', on='enrollment_id')
check_dataframe(WD, 'WD')
X = pd.merge(X, WD, how='left', on='enrollment_id')
check_dataframe(H, 'H')
X = pd.merge(X, H, how='left', on='enrollment_id')
check_dataframe(E, 'E')
X = pd.merge(X, E, how='left', on='enrollment_id')
check_dataframe(S, 'S')
X = pd.merge(X, S, how='left', on='enrollment_id')
del X['username']
del X['course_id']
X.fillna(0, inplace=True)
check_dataframe(X, 'X')
IO.cache(X, pkl_path)
return X
def _buildPathArea(self, obj, baseobject, isHole, start, getsim):
'''_buildPathArea(obj, baseobject, isHole, start, getsim) ... internal function.'''
# pylint: disable=unused-argument
PathLog.track()
area = Path.Area()
area.setPlane(PathUtils.makeWorkplane(baseobject))
area.add(baseobject)
areaParams = self.areaOpAreaParams(obj, isHole) # pylint: disable=assignment-from-no-return
heights = [i for i in self.depthparams]
PathLog.debug('depths: {}'.format(heights))
area.setParams(**areaParams)
obj.AreaParams = str(area.getParams())
PathLog.debug("Area with params: {}".format(area.getParams()))
sections = area.makeSections(mode=0,
project=self.areaOpUseProjection(obj),
heights=heights)
PathLog.debug("sections = %s" % sections)
shapelist = [sec.getShape() for sec in sections]
PathLog.debug("shapelist = %s" % shapelist)
pathParams = self.areaOpPathParams(obj, isHole) # pylint: disable=assignment-from-no-return
pathParams['shapes'] = shapelist
pathParams['feedrate'] = self.horizFeed
pathParams['feedrate_v'] = self.vertFeed
pathParams['verbose'] = True
pathParams['resume_height'] = obj.SafeHeight.Value
pathParams['retraction'] = obj.ClearanceHeight.Value
pathParams['return_end'] = True
# Note that emitting preambles between moves breaks some dressups and prevents path optimization on some controllers
pathParams['preamble'] = False
if not self.areaOpRetractTool(obj):
pathParams['threshold'] = 2.001 * self.radius
if self.endVector is not None:
pathParams['start'] = self.endVector
elif PathOp.FeatureStartPoint & self.opFeatures(
obj) and obj.UseStartPoint:
pathParams['start'] = obj.StartPoint
obj.PathParams = str({
key: value
for key, value in pathParams.items() if key != 'shapes'
})
PathLog.debug("Path with params: {}".format(obj.PathParams))
(pp, end_vector) = Path.fromShapes(**pathParams)
PathLog.debug('pp: {}, end vector: {}'.format(pp, end_vector))
self.endVector = end_vector # pylint: disable=attribute-defined-outside-init
simobj = None
if getsim:
areaParams['Thicken'] = True
areaParams['ToolRadius'] = self.radius - self.radius * .005
area.setParams(**areaParams)
sec = area.makeSections(mode=0, project=False,
heights=heights)[-1].getShape()
simobj = sec.extrude(FreeCAD.Vector(0, 0,
baseobject.BoundBox.ZMax))
return pp, simobj
def opExecute(self, obj, getsim=False): # pylint: disable=arguments-differ
'''opExecute(obj, getsim=False) ... implementation of Path.Area ops.
determines the parameters for _buildPathArea().
Do not overwrite, implement
areaOpAreaParams(obj, isHole) ... op specific area param dictionary
areaOpPathParams(obj, isHole) ... op specific path param dictionary
areaOpShapes(obj) ... the shape for path area to process
areaOpUseProjection(obj) ... return true if operation can use projection
instead.'''
PathLog.track()
# Instantiate class variables for operation reference
self.endVector = None # pylint: disable=attribute-defined-outside-init
self.rotateFlag = False # pylint: disable=attribute-defined-outside-init
self.leadIn = 2.0 # pylint: disable=attribute-defined-outside-init
self.cloneNames = [] # pylint: disable=attribute-defined-outside-init
self.guiMsgs = [] # pylint: disable=attribute-defined-outside-init
self.tempObjectNames = [] # pylint: disable=attribute-defined-outside-init
self.stockBB = PathUtils.findParentJob(obj).Stock.Shape.BoundBox # pylint: disable=attribute-defined-outside-init
self.useTempJobClones(
'Delete') # Clear temporary group and recreate for temp job clones
self.profileEdgesIsOpen = False
if obj.EnableRotation != 'Off':
# Calculate operation heights based upon rotation radii
opHeights = self.opDetermineRotationRadii(obj)
(self.xRotRad, self.yRotRad, self.zRotRad) = opHeights[0] # pylint: disable=attribute-defined-outside-init
(self.clrOfset, self.safOfst) = opHeights[1] # pylint: disable=attribute-defined-outside-init
# Set clearance and safe heights based upon rotation radii
if obj.EnableRotation == 'A(x)':
strDep = self.xRotRad
elif obj.EnableRotation == 'B(y)':
strDep = self.yRotRad
else:
strDep = max(self.xRotRad, self.yRotRad)
finDep = -1 * strDep
obj.ClearanceHeight.Value = strDep + self.clrOfset
obj.SafeHeight.Value = strDep + self.safOfst
# Create visual axes when debugging.
if PathLog.getLevel(PathLog.thisModule()) == 4:
self.visualAxis()
else:
strDep = obj.StartDepth.Value
finDep = obj.FinalDepth.Value
# Set axial feed rates based upon horizontal feed rates
safeCircum = 2 * math.pi * obj.SafeHeight.Value
self.axialFeed = 360 / safeCircum * self.horizFeed # pylint: disable=attribute-defined-outside-init
self.axialRapid = 360 / safeCircum * self.horizRapid # pylint: disable=attribute-defined-outside-init
# Initiate depthparams and calculate operation heights for rotational operation
self.depthparams = self._customDepthParams(obj, obj.StartDepth.Value,
obj.FinalDepth.Value)
# Set start point
if PathOp.FeatureStartPoint & self.opFeatures(
obj) and obj.UseStartPoint:
start = obj.StartPoint
else:
start = None
aOS = self.areaOpShapes(obj) # pylint: disable=assignment-from-no-return
# Adjust tuples length received from other PathWB tools/operations beside PathPocketShape
shapes = []
for shp in aOS:
if len(shp) == 2:
(fc, iH) = shp
# fc, iH, sub, angle, axis, strtDep, finDep
tup = fc, iH, 'otherOp', 0.0, 'S', obj.StartDepth.Value, obj.FinalDepth.Value
shapes.append(tup)
else:
shapes.append(shp)
if len(shapes) > 1:
jobs = [{
'x': s[0].BoundBox.XMax,
'y': s[0].BoundBox.YMax,
'shape': s
} for s in shapes]
jobs = PathUtils.sort_jobs(jobs, ['x', 'y'])
shapes = [j['shape'] for j in jobs]
if self.profileEdgesIsOpen is True:
if PathOp.FeatureStartPoint & self.opFeatures(
obj) and obj.UseStartPoint:
osp = obj.StartPoint
self.commandlist.append(
Path.Command('G0', {
'X': osp.x,
'Y': osp.y,
'F': self.horizRapid
}))
sims = []
numShapes = len(shapes)
for ns in range(0, numShapes):
(shape, isHole, sub, angle, axis, strDep, finDep) = shapes[ns] # pylint: disable=unused-variable
if ns < numShapes - 1:
nextAxis = shapes[ns + 1][4]
else:
nextAxis = 'L'
self.depthparams = self._customDepthParams(obj, strDep, finDep)
try:
if self.profileEdgesIsOpen is True:
(pp, sim) = self._buildProfileOpenEdges(
obj, shape, isHole, start, getsim)
else:
(pp, sim) = self._buildPathArea(obj, shape, isHole, start,
getsim)
except Exception as e: # pylint: disable=broad-except
FreeCAD.Console.PrintError(e)
FreeCAD.Console.PrintError(
"Something unexpected happened. Check project and tool config."
)
else:
if self.profileEdgesIsOpen is True:
ppCmds = pp
else:
ppCmds = pp.Commands
if obj.EnableRotation != 'Off' and self.rotateFlag is True:
# Rotate model to index for cut
if axis == 'X':
axisOfRot = 'A'
elif axis == 'Y':
axisOfRot = 'B'
elif axis == 'Z':
axisOfRot = 'C'
else:
axisOfRot = 'A'
# Rotate Model to correct angle
ppCmds.insert(
0,
Path.Command('G0', {
axisOfRot: angle,
'F': self.axialRapid
}))
# Raise cutter to safe height
ppCmds.insert(
0,
Path.Command('G0', {
'Z': obj.SafeHeight.Value,
'F': self.vertRapid
}))
# Return index to starting position if axis of rotation changes.
if numShapes > 1:
if ns != numShapes - 1:
if axis != nextAxis:
ppCmds.append(
Path.Command('G0', {
axisOfRot: 0.0,
'F': self.axialRapid
}))
# Eif
# Save gcode commands to object command list
self.commandlist.extend(ppCmds)
sims.append(sim)
# Eif
if self.areaOpRetractTool(obj):
self.endVector = None # pylint: disable=attribute-defined-outside-init
# Raise cutter to safe height and rotate back to original orientation
if self.rotateFlag is True:
resetAxis = False
lastJobOp = None
nextJobOp = None
opIdx = 0
JOB = PathUtils.findParentJob(obj)
jobOps = JOB.Operations.Group
numJobOps = len(jobOps)
for joi in range(0, numJobOps):
jo = jobOps[joi]
if jo.Name == obj.Name:
opIdx = joi
lastOpIdx = opIdx - 1
nextOpIdx = opIdx + 1
if lastOpIdx > -1:
lastJobOp = jobOps[lastOpIdx]
if nextOpIdx < numJobOps:
nextJobOp = jobOps[nextOpIdx]
if lastJobOp is not None:
if hasattr(lastJobOp, 'EnableRotation'):
PathLog.debug(
'Last Op, {}, has `EnableRotation` set to {}'.format(
lastJobOp.Label, lastJobOp.EnableRotation))
if lastJobOp.EnableRotation != obj.EnableRotation:
resetAxis = True
if ns == numShapes - 1: # If last shape, check next op EnableRotation setting
if nextJobOp is not None:
if hasattr(nextJobOp, 'EnableRotation'):
PathLog.debug(
'Next Op, {}, has `EnableRotation` set to {}'.
format(nextJobOp.Label, nextJobOp.EnableRotation))
if nextJobOp.EnableRotation != obj.EnableRotation:
resetAxis = True
# Raise to safe height if rotation activated
self.commandlist.append(
Path.Command('G0', {
'Z': obj.SafeHeight.Value,
'F': self.vertRapid
}))
# reset rotational axes if necessary
if resetAxis is True:
self.commandlist.append(
Path.Command('G0', {
'A': 0.0,
'F': self.axialRapid
}))
self.commandlist.append(
Path.Command('G0', {
'B': 0.0,
'F': self.axialRapid
}))
self.useTempJobClones(
'Delete') # Delete temp job clone group and contents
self.guiMessage('title', None,
show=True) # Process GUI messages to user
for ton in self.tempObjectNames: # remove temporary objects by name
FreeCAD.ActiveDocument.removeObject(ton)
PathLog.debug("obj.Name: " + str(obj.Name) + "\n\n")
return sims
def test10(self):
"""Verify proper geometry objects for G1 and G01 commands are created."""
spt = Vector(1,2,3)
self.assertLine(PathGeom.edgeForCmd(Path.Command('G1', {'X': 7, 'Y': 2, 'Z': 3}), spt), spt, Vector(7, 2, 3))
self.assertLine(PathGeom.edgeForCmd(Path.Command('G01', {'X': 1, 'Y': 3, 'Z': 5}), spt), spt, Vector(1, 3, 5))
def createPath(self, obj, pathData, tags):
PathLog.track()
commands = []
lastEdge = 0
lastTag = 0
sameTag = None
t = 0
inters = None
edge = None
segm = 50
if hasattr(obj, 'SegmentationFactor'):
segm = obj.SegmentationFactor
if segm <= 0:
segm = 50
obj.SegmentationFactor = 50
self.mappers = []
mapper = None
while edge or lastEdge < len(pathData.edges):
PathLog.debug("------- lastEdge = %d/%d.%d/%d" %
(lastEdge, lastTag, t, len(tags)))
if not edge:
edge = pathData.edges[lastEdge]
debugEdge(
edge, "======= new edge: %d/%d" %
(lastEdge, len(pathData.edges)))
lastEdge += 1
sameTag = None
if mapper:
mapper.add(edge)
if mapper.mappingComplete():
commands.extend(mapper.commands)
edge = mapper.tail
mapper = None
else:
edge = None
if edge:
tIndex = (t + lastTag) % len(tags)
t += 1
i = tags[tIndex].intersects(edge, edge.FirstParameter)
if i and self.isValidTagStartIntersection(edge, i):
mapper = MapWireToTag(edge, tags[tIndex], i, segm,
pathData.maxZ)
self.mappers.append(mapper)
edge = mapper.tail
if not mapper and t >= len(tags):
# gone through all tags, consume edge and move on
if edge:
debugEdge(edge, '++++++++')
if pathData.rapid.isRapid(edge):
v = edge.Vertexes[1]
commands.append(
Path.Command('G0', {
'X': v.X,
'Y': v.Y,
'Z': v.Z
}))
else:
commands.extend(PathGeom.cmdsForEdge(edge, segm=segm))
edge = None
t = 0
lastCmd = Path.Command('G0', {
'X': 0.0,
'Y': 0.0,
'Z': 0.0
})
outCommands = []
horizFeed = obj.Base.ToolController.HorizFeed.Value
vertFeed = obj.Base.ToolController.VertFeed.Value
horizRapid = obj.Base.ToolController.HorizRapid.Value
vertRapid = obj.Base.ToolController.VertRapid.Value
for cmd in commands:
params = cmd.Parameters
zVal = params.get('Z', None)
zVal2 = lastCmd.Parameters.get('Z', None)
zVal = zVal and round(zVal, 8)
zVal2 = zVal2 and round(zVal2, 8)
if cmd.Name in ['G1', 'G2', 'G3', 'G01', 'G02', 'G03']:
if zVal is not None and zVal2 != zVal:
params['F'] = vertFeed
else:
params['F'] = horizFeed
lastCmd = cmd
elif cmd.Name in ['G0', 'G00']:
if zVal is not None and zVal2 != zVal:
params['F'] = vertRapid
else:
params['F'] = horizRapid
lastCmd = cmd
outCommands.append(Path.Command(cmd.Name, params))
return Path.Path(outCommands)
def GenerateGCode(op, obj, adaptiveResults, helixDiameter):
if len(adaptiveResults) == 0 or len(
adaptiveResults[0]["AdaptivePaths"]) == 0:
return
minLiftDistance = op.tool.Diameter
helixRadius = 0
for region in adaptiveResults:
p1 = region["HelixCenterPoint"]
p2 = region["StartPoint"]
r = math.sqrt((p1[0] - p2[0]) * (p1[0] - p2[0]) + (p1[1] - p2[1]) *
(p1[1] - p2[1]))
if r > helixRadius:
helixRadius = r
stepDown = obj.StepDown.Value
passStartDepth = obj.StartDepth.Value
if stepDown < 0.1:
stepDown = 0.1
length = 2 * math.pi * helixRadius
if float(obj.HelixAngle) < 1:
obj.HelixAngle = 1
helixAngleRad = math.pi * float(obj.HelixAngle) / 180.0
depthPerOneCircle = length * math.tan(helixAngleRad)
#print("Helix circle depth: {}".format(depthPerOneCircle))
stepUp = obj.LiftDistance.Value
if stepUp < 0:
stepUp = 0
finish_step = obj.FinishDepth.Value if hasattr(obj, "FinishDepth") else 0.0
if finish_step > stepDown:
finish_step = stepDown
depth_params = PathUtils.depth_params(
clearance_height=obj.ClearanceHeight.Value,
safe_height=obj.SafeHeight.Value,
start_depth=obj.StartDepth.Value,
step_down=stepDown,
z_finish_step=finish_step,
final_depth=obj.FinalDepth.Value,
user_depths=None)
lx = adaptiveResults[0]["HelixCenterPoint"][0]
ly = adaptiveResults[0]["HelixCenterPoint"][1]
lz = passStartDepth
step = 0
for passEndDepth in depth_params.data:
step = step + 1
for region in adaptiveResults:
startAngle = math.atan2(
region["StartPoint"][1] - region["HelixCenterPoint"][1],
region["StartPoint"][0] - region["HelixCenterPoint"][0])
lx = region["HelixCenterPoint"][0]
ly = region["HelixCenterPoint"][1]
passDepth = (passStartDepth - passEndDepth)
p1 = region["HelixCenterPoint"]
p2 = region["StartPoint"]
helixRadius = math.sqrt((p1[0] - p2[0]) * (p1[0] - p2[0]) +
(p1[1] - p2[1]) * (p1[1] - p2[1]))
# helix ramp
if helixRadius > 0.001:
r = helixRadius - 0.01
maxfi = passDepth / depthPerOneCircle * 2 * math.pi
fi = 0
offsetFi = -maxfi + startAngle - math.pi / 16
helixStart = [
region["HelixCenterPoint"][0] + r * math.cos(offsetFi),
region["HelixCenterPoint"][1] + r * math.sin(offsetFi)
]
op.commandlist.append(
Path.Command("(Helix to depth: %f)" % passEndDepth))
if obj.UseHelixArcs == False:
# rapid move to start point
op.commandlist.append(
Path.Command(
"G0", {
"X": helixStart[0],
"Y": helixStart[1],
"Z": obj.ClearanceHeight.Value
}))
# rapid move to safe height
op.commandlist.append(
Path.Command(
"G0", {
"X": helixStart[0],
"Y": helixStart[1],
"Z": obj.SafeHeight.Value
}))
# move to start depth
op.commandlist.append(
Path.Command(
"G1", {
"X": helixStart[0],
"Y": helixStart[1],
"Z": passStartDepth,
"F": op.vertFeed
}))
while fi < maxfi:
x = region["HelixCenterPoint"][0] + r * math.cos(
fi + offsetFi)
y = region["HelixCenterPoint"][1] + r * math.sin(
fi + offsetFi)
z = passStartDepth - fi / maxfi * (passStartDepth -
passEndDepth)
op.commandlist.append(
Path.Command("G1", {
"X": x,
"Y": y,
"Z": z,
"F": op.vertFeed
}))
lx = x
ly = y
fi = fi + math.pi / 16
# one more circle at target depth to make sure center is cleared
maxfi = maxfi + 2 * math.pi
while fi < maxfi:
x = region["HelixCenterPoint"][0] + r * math.cos(
fi + offsetFi)
y = region["HelixCenterPoint"][1] + r * math.sin(
fi + offsetFi)
z = passEndDepth
op.commandlist.append(
Path.Command("G1", {
"X": x,
"Y": y,
"Z": z,
"F": op.horizFeed
}))
lx = x
ly = y
fi = fi + math.pi / 16
else:
helixStart = [
region["HelixCenterPoint"][0] + r,
region["HelixCenterPoint"][1]
]
# rapid move to start point
op.commandlist.append(
Path.Command(
"G0", {
"X": helixStart[0],
"Y": helixStart[1],
"Z": obj.ClearanceHeight.Value
}))
# rapid move to safe height
op.commandlist.append(
Path.Command(
"G0", {
"X": helixStart[0],
"Y": helixStart[1],
"Z": obj.SafeHeight.Value
}))
# move to start depth
op.commandlist.append(
Path.Command(
"G1", {
"X": helixStart[0],
"Y": helixStart[1],
"Z": passStartDepth,
"F": op.vertFeed
}))
x = region["HelixCenterPoint"][0] + r
y = region["HelixCenterPoint"][1]
curDep = passStartDepth
while curDep > (passEndDepth + depthPerOneCircle):
op.commandlist.append(
Path.Command(
"G2", {
"X": x - (2 * r),
"Y": y,
"Z": curDep - (depthPerOneCircle / 2),
"I": -r,
"F": op.horizFeed
}))
op.commandlist.append(
Path.Command(
"G2", {
"X": x,
"Y": y,
"Z": curDep - depthPerOneCircle,
"I": r,
"F": op.horizFeed
}))
curDep = curDep - depthPerOneCircle
lastStep = curDep - passEndDepth
if lastStep > (depthPerOneCircle / 2):
op.commandlist.append(
Path.Command(
"G2", {
"X": x - (2 * r),
"Y": y,
"Z": curDep - (lastStep / 2),
"I": -r,
"F": op.horizFeed
}))
op.commandlist.append(
Path.Command(
"G2", {
"X": x,
"Y": y,
"Z": passEndDepth,
"I": r,
"F": op.horizFeed
}))
else:
op.commandlist.append(
Path.Command(
"G2", {
"X": x - (2 * r),
"Y": y,
"Z": passEndDepth,
"I": -r,
"F": op.horizFeed
}))
op.commandlist.append(
Path.Command(
"G1", {
"X": x,
"Y": y,
"Z": passEndDepth,
"F": op.vertFeed
}))
# one more circle at target depth to make sure center is cleared
op.commandlist.append(
Path.Command(
"G2", {
"X": x - (2 * r),
"Y": y,
"Z": passEndDepth,
"I": -r,
"F": op.horizFeed
}))
op.commandlist.append(
Path.Command(
"G2", {
"X": x,
"Y": y,
"Z": passEndDepth,
"I": r,
"F": op.horizFeed
}))
lx = x
ly = y
else: # no helix entry
# rapid move to clearance height
op.commandlist.append(
Path.Command(
"G0", {
"X": region["StartPoint"][0],
"Y": region["StartPoint"][1],
"Z": obj.ClearanceHeight.Value
}))
# straight plunge to target depth
op.commandlist.append(
Path.Command(
"G1", {
"X": region["StartPoint"][0],
"Y": region["StartPoint"][1],
"Z": passEndDepth,
"F": op.vertFeed
}))
lz = passEndDepth
z = obj.ClearanceHeight.Value
op.commandlist.append(
Path.Command("(Adaptive - depth: %f)" % passEndDepth))
# add adaptive paths
for pth in region["AdaptivePaths"]:
motionType = pth[0] #[0] contains motion type
for pt in pth[1]: #[1] contains list of points
x = pt[0]
y = pt[1]
dist = math.sqrt((x - lx) * (x - lx) + (y - ly) * (y - ly))
if motionType == area.AdaptiveMotionType.Cutting:
z = passEndDepth
if z != lz:
op.commandlist.append(
Path.Command("G1", {
"Z": z,
"F": op.vertFeed
}))
op.commandlist.append(
Path.Command("G1", {
"X": x,
"Y": y,
"F": op.horizFeed
}))
elif motionType == area.AdaptiveMotionType.LinkClear:
z = passEndDepth + stepUp
if z != lz:
op.commandlist.append(Path.Command("G0", {"Z": z}))
op.commandlist.append(
Path.Command("G0", {
"X": x,
"Y": y
}))
elif motionType == area.AdaptiveMotionType.LinkNotClear:
z = obj.ClearanceHeight.Value
if z != lz:
op.commandlist.append(Path.Command("G0", {"Z": z}))
op.commandlist.append(
Path.Command("G0", {
"X": x,
"Y": y
}))
# elif motionType == area.AdaptiveMotionType.LinkClearAtPrevPass:
# if lx!=x or ly!=y:
# op.commandlist.append(Path.Command("G0", { "X": lx, "Y":ly, "Z":passStartDepth+stepUp}))
# op.commandlist.append(Path.Command("G0", { "X": x, "Y":y, "Z":passStartDepth+stepUp}))
lx = x
ly = y
lz = z
# return to safe height in this Z pass
z = obj.ClearanceHeight.Value
if z != lz:
op.commandlist.append(Path.Command("G0", {"Z": z}))
lz = z
passStartDepth = passEndDepth
# return to safe height in this Z pass
z = obj.ClearanceHeight.Value
if z != lz:
op.commandlist.append(Path.Command("G0", {"Z": z}))
lz = z
z = obj.ClearanceHeight.Value
if z != lz:
op.commandlist.append(Path.Command("G0", {"Z": z}))
lz = z
def PerformCutVoxel(self):
if self.resetSimulation:
self.resetSimulation = False
self.SetupSimulation()
if self.busy:
return
self.busy = True
cmd = self.opCommands[self.icmd]
# for cmd in job.Path.Commands:
if cmd.Name in ["G0", "G1", "G2", "G3"]:
self.firstDrill = True
if cmd.Name in ["G2", "G3"] and (cmd.k or 0) == 0:
cx = self.curpos.Base.x + (cmd.i or 0)
cy = self.curpos.Base.y + (cmd.j or 0)
a0 = math.atan2(self.curpos.Base.y - cy,
self.curpos.Base.x - cx)
a1 = math.atan2(cmd.y - cy, cmd.x - cx)
da = a1 - a0
if cmd.Name == "G3":
da = da % (2 * math.pi)
else:
da = -((-da) % (2 * math.pi))
r = math.sqrt((cmd.i or 0)**2 + (cmd.j or 0)**2)
n = math.ceil(math.sqrt(r / self.resolution * da * da))
da = da / n
dz = (cmd.z - self.curpos.Base.z) / n
cmd.Name = "G1"
for i in range(n):
a0 += da
cmd.x = cx + r * math.cos(a0)
cmd.y = cy + r * math.sin(a0)
cmd.z = self.curpos.Base.z + dz
self.curpos = self.voxSim.ApplyCommand(self.curpos, cmd)
else:
self.curpos = self.voxSim.ApplyCommand(self.curpos, cmd)
if not self.disableAnim:
self.cutTool.Placement = self.curpos
(
self.cutMaterial.Mesh,
self.cutMaterialIn.Mesh,
) = self.voxSim.GetResultMesh()
if cmd.Name in ["G80"]:
self.firstDrill = True
if cmd.Name in ["G73", "G81", "G82", "G83"]:
extendcommands = []
if self.firstDrill:
extendcommands.append(Path.Command("G0", {"Z": cmd.r}))
self.firstDrill = False
extendcommands.append(
Path.Command("G0", {
"X": cmd.x,
"Y": cmd.y,
"Z": cmd.r
}))
extendcommands.append(
Path.Command("G1", {
"X": cmd.x,
"Y": cmd.y,
"Z": cmd.z
}))
extendcommands.append(
Path.Command("G1", {
"X": cmd.x,
"Y": cmd.y,
"Z": cmd.r
}))
for ecmd in extendcommands:
self.curpos = self.voxSim.ApplyCommand(self.curpos, ecmd)
if not self.disableAnim:
self.cutTool.Placement = self.curpos
(
self.cutMaterial.Mesh,
self.cutMaterialIn.Mesh,
) = self.voxSim.GetResultMesh()
self.icmd += 1
self.iprogress += 1
self.UpdateProgress()
if self.icmd >= len(self.opCommands):
self.ioperation += 1
if self.ioperation >= len(self.activeOps):
self.EndSimulation()
return
else:
self.SetupOperation(self.ioperation)
self.busy = False
def execute(self, obj):
output = ""
output += '(' + str(obj.Comment) + ')\n'
path = Path.Path(output)
obj.Path = path
def buildPathMedial(self, obj, faces):
'''constructs a medial axis path using openvoronoi'''
def insert_many_wires(vd, wires):
for wire in wires:
PathLog.debug('discretize value: {}'.format(obj.Discretize))
pts = wire.discretize(QuasiDeflection=obj.Discretize)
ptv = [FreeCAD.Vector(p.x, p.y) for p in pts]
ptv.append(ptv[0])
for i in range(len(pts)):
vd.addSegment(ptv[i], ptv[i+1])
def cutWire(edges):
path = []
path.append(Path.Command("G0 Z{}".format(obj.SafeHeight.Value)))
e = edges[0]
p = e.valueAt(e.FirstParameter)
path.append(Path.Command("G0 X{} Y{} Z{}".format(p.x, p.y, obj.SafeHeight.Value)))
hSpeed = obj.ToolController.HorizFeed.Value
vSpeed = obj.ToolController.VertFeed.Value
path.append(Path.Command("G1 X{} Y{} Z{} F{}".format(p.x, p.y, p.z, vSpeed)))
for e in edges:
path.extend(PathGeom.cmdsForEdge(e, hSpeed=hSpeed, vSpeed=vSpeed))
return path
VD.clear()
voronoiWires = []
for f in faces:
vd = Path.Voronoi()
insert_many_wires(vd, f.Wires)
vd.construct()
for e in vd.Edges:
e.Color = PRIMARY if e.isPrimary() else SECONDARY
vd.colorExterior(EXTERIOR1)
vd.colorExterior(EXTERIOR2,
lambda v: not f.isInside(v.toPoint(f.BoundBox.ZMin),
obj.Tolerance, True))
vd.colorColinear(COLINEAR, obj.Colinear)
vd.colorTwins(TWIN)
wires = _collectVoronoiWires(vd)
if _sorting != 'global':
wires = _sortVoronoiWires(wires)
voronoiWires.extend(wires)
VD.append((f, vd, wires))
if _sorting == 'global':
voronoiWires = _sortVoronoiWires(voronoiWires)
geom = _Geometry.FromObj(obj, self.model[0])
pathlist = []
pathlist.append(Path.Command("(starting)"))
for w in voronoiWires:
pWire = self._getPartEdges(obj, w, geom)
if pWire:
wires.append(pWire)
pathlist.extend(cutWire(pWire))
self.commandlist = pathlist
def extract(base_date):
pkl_path = Path.of_cache('time_related.%s.pkl' % base_date)
X = IO.fetch_cache(pkl_path)
if X is not None:
logger.debug('cache hit')
return X
logger.debug('cache missed')
logger.debug('prepare datasets ...')
enroll_all = IO.load_enrollments()
log_all = IO.load_logs()
obj_all = IO.load_object()
log_all = log_all[log_all['time'] <= base_date]
obj_all = obj_all[obj_all['start'] <= base_date]
logger.debug('datasets prepared')
CT = course_duration(log_all, obj_all, enroll_all)
# 0~1: 课程材料首次发布、最近发布距今几天
XC = CT.copy()
XC['st'] = (base_date - XC['st']).dt.days
XC['et'] = (base_date - XC['et']).dt.days
logger.debug('0~1')
ET = log_all.groupby('enrollment_id').agg({'time': [np.min, np.max]})
ET.columns = ['st_e', 'et_e']
ET.reset_index(inplace=True)
ET['duration'] = (ET['et_e'] - ET['st_e']).dt.days
ET = pd.merge(ET, enroll_all, how='left', on='enrollment_id')
ET = pd.merge(ET, CT, how='left', on='course_id')
ET['duration_ratio'] = (ET['et'] - ET['st']).dt.days
ET['duration_ratio'] = ET['duration'] / ET['duration_ratio']
ET['first_op'] = (ET['st_e'] - ET['st']).dt.days
ET['first_month'] = ET['st_e'].dt.month
ET['last_month'] = ET['et_e'].dt.month
UT = ET.copy()
del ET['st']
del ET['et']
del ET['username']
del ET['course_id']
# 2~6: 用户初次、上次操作此课程据今几天，持续几天，与课程持续时间的比例，
# 初次访问课程材料距离开课时间几天
# 15~16: month (1-12) of the first, last event in the enrollment
XE = ET.copy()
XE['st_e'] = (base_date - XE['st_e']).dt.days
XE['et_e'] = (base_date - XE['et_e']).dt.days
logger.debug('2~6, 15~16')
# 7~14: 课程的所有用户操作课程持续时间的：平均值、标准差、最大值、最小值，
# 以及与课程持续时间的比例
XU = UT.groupby('course_id').agg({
'duration': [np.average, np.std, np.max, np.min],
'duration_ratio': [np.average, np.std, np.max, np.min]
}).reset_index()
XU.columns = [' '.join(c).strip() for c in XU.columns.values]
logger.debug('7~14')
op_time = log_all.groupby(['enrollment_id', 'object'])\
.agg({'time': np.min}).reset_index()
op_time = pd.merge(op_time, enroll_all, how='left', on='enrollment_id')
op_time = pd.merge(op_time,
obj_all.rename(columns={'module_id': 'object'}),
how='left', on=['course_id', 'object'])
first_op_time = pd.merge(log_all, enroll_all, how='left',
on='enrollment_id')\
.groupby(['course_id', 'object']).agg({'time': np.min}).reset_index()
first_op_time.rename(columns={'time': 'first_op_time'}, inplace=True)
op_time = pd.merge(op_time, first_op_time, how='left',
on=['course_id', 'object'])
op_time.ix[pd.isnull(op_time['start']), 'start'] = \
op_time.ix[pd.isnull(op_time['start']), 'first_op_time']
op_time['delay'] = (op_time['time'] - op_time['start']).dt.days
import events
op_time = pd.merge(op_time, events.enroll_duration(log_all), how='left',
on='enrollment_id')
op_last_week = op_time[
op_time['time'] > op_time['et'] - timedelta(days=7)].copy()
op_2nd_last_week = op_time[
(op_time['time'] > op_time['et'] - timedelta(days=14)) &
(op_time['time'] <= op_time['et'] - timedelta(days=7))].copy()
op_first_week = op_time[
op_time['time'] < op_time['st'] + timedelta(days=7)].copy()
# 17~32: 用户对课程材料的首次操作时间与课程材料发布时间的日期差的：
# 平均值、标准差、最大值、最小值，enrollment最后一周、倒数第二周、第一周、总体
XO_last_week = op_last_week.groupby('enrollment_id')\
.agg({'delay': [np.average, np.std, np.max, np.min]})\
.reset_index()
XO_last_week.columns = [' '.join(c).strip()
for c in XO_last_week.columns.values]
XO_2nd_last_week = op_2nd_last_week.groupby('enrollment_id')\
.agg({'delay': [np.average, np.std, np.max, np.min]})\
.reset_index()
XO_2nd_last_week.columns = [' '.join(c).strip()
for c in XO_2nd_last_week.columns.values]
XO_first_week = op_first_week.groupby('enrollment_id')\
.agg({'delay': [np.average, np.std, np.max, np.min]})\
.reset_index()
XO_first_week.columns = [' '.join(c).strip()
for c in XO_first_week.columns.values]
XO_all = op_time.groupby('enrollment_id')\
.agg({'delay': [np.average, np.std, np.max, np.min]})\
.reset_index()
XO_all.columns = [' '.join(c).strip() for c in XO_all.columns.values]
logger.debug('17~32')
check_dataframe = Util.dataframe_checker(logger)
check_dataframe(XC, 'XC')
X = pd.merge(enroll_all, XC, how='left', on='course_id')
check_dataframe(XE, 'XE')
X = pd.merge(X, XE, how='left', on='enrollment_id')
check_dataframe(XU, 'XU')
X = pd.merge(X, XU, how='left', on='course_id')
check_dataframe(XO_last_week, 'XO_last_week')
X = pd.merge(X, XO_last_week, how='left', on='enrollment_id')
check_dataframe(XO_2nd_last_week, 'XO_2nd_last_week')
X = pd.merge(X, XO_2nd_last_week, how='left', on='enrollment_id')
check_dataframe(XO_first_week, 'XO_first_week')
X = pd.merge(X, XO_first_week, how='left', on='enrollment_id')
check_dataframe(XO_all, 'XO_all')
X = pd.merge(X, XO_all, how='left', on='enrollment_id')
del X['username']
del X['course_id']
X.fillna(0, inplace=True)
check_dataframe(X, 'X')
IO.cache(X, pkl_path)
return X
def buildPostList(job):
"""Takes the job and determines the specific objects and order to
postprocess Returns a list of objects which can be passed to
exportObjectsWith() for final posting"""
wcslist = job.Fixtures
orderby = job.OrderOutputBy
postlist = []
if orderby == "Fixture":
PathLog.debug("Ordering by Fixture")
# Order by fixture means all operations and tool changes will be completed in one
# fixture before moving to the next.
currTool = None
for index, f in enumerate(wcslist):
# create an object to serve as the fixture path
fobj = _TempObject()
c1 = Path.Command(f)
fobj.Path = Path.Path([c1])
if index != 0:
c2 = Path.Command(
"G0 Z"
+ str(
job.Stock.Shape.BoundBox.ZMax
+ job.SetupSheet.ClearanceHeightOffset.Value
)
)
fobj.Path.addCommands(c2)
fobj.InList.append(job)
sublist = [fobj]
# Now generate the gcode
for obj in job.Operations.Group:
tc = PathUtil.toolControllerForOp(obj)
if tc is not None and PathUtil.opProperty(obj, "Active"):
if tc.ToolNumber != currTool:
sublist.append(tc)
PathLog.debug("Appending TC: {}".format(tc.Name))
currTool = tc.ToolNumber
sublist.append(obj)
postlist.append((f, sublist))
elif orderby == "Tool":
PathLog.debug("Ordering by Tool")
# Order by tool means tool changes are minimized.
# all operations with the current tool are processed in the current
# fixture before moving to the next fixture.
toolstring = "None"
currTool = None
# Build the fixture list
fixturelist = []
for f in wcslist:
# create an object to serve as the fixture path
fobj = _TempObject()
c1 = Path.Command(f)
c2 = Path.Command(
"G0 Z"
+ str(
job.Stock.Shape.BoundBox.ZMax
+ job.SetupSheet.ClearanceHeightOffset.Value
)
)
fobj.Path = Path.Path([c1, c2])
fobj.InList.append(job)
fixturelist.append(fobj)
# Now generate the gcode
curlist = [] # list of ops for tool, will repeat for each fixture
sublist = [] # list of ops for output splitting
PathLog.track(job.PostProcessorOutputFile)
for idx, obj in enumerate(job.Operations.Group):
PathLog.track(obj.Label)
# check if the operation is active
if not getattr(obj, "Active", True):
PathLog.track()
continue
# Determine the proper string for the Op's TC
tc = PathUtil.toolControllerForOp(obj)
if tc is None:
tcstring = "None"
elif "%T" in job.PostProcessorOutputFile:
tcstring = f"{tc.ToolNumber}"
else:
tcstring = re.sub(r"[^\w\d-]", "_", tc.Label)
PathLog.track(toolstring)
if tc is None or tc.ToolNumber == currTool:
curlist.append(obj)
elif tc.ToolNumber != currTool and currTool is None: # first TC
sublist.append(tc)
curlist.append(obj)
currTool = tc.ToolNumber
toolstring = tcstring
elif tc.ToolNumber != currTool and currTool is not None: # TC
for fixture in fixturelist:
sublist.append(fixture)
sublist.extend(curlist)
postlist.append((toolstring, sublist))
sublist = [tc]
curlist = [obj]
currTool = tc.ToolNumber
toolstring = tcstring
if idx == len(job.Operations.Group) - 1: # Last operation.
for fixture in fixturelist:
sublist.append(fixture)
sublist.extend(curlist)
postlist.append((toolstring, sublist))
elif orderby == "Operation":
PathLog.debug("Ordering by Operation")
# Order by operation means ops are done in each fixture in
# sequence.
currTool = None
firstFixture = True
# Now generate the gcode
for obj in job.Operations.Group:
# check if the operation is active
if not getattr(obj, "Active", True):
continue
sublist = []
PathLog.debug("obj: {}".format(obj.Name))
for f in wcslist:
fobj = _TempObject()
c1 = Path.Command(f)
fobj.Path = Path.Path([c1])
if not firstFixture:
c2 = Path.Command(
"G0 Z"
+ str(
job.Stock.Shape.BoundBox.ZMax
+ job.SetupSheet.ClearanceHeightOffset.Value
)
)
fobj.Path.addCommands(c2)
fobj.InList.append(job)
sublist.append(fobj)
firstFixture = False
tc = PathUtil.toolControllerForOp(obj)
if tc is not None:
if job.SplitOutput or (tc.ToolNumber != currTool):
sublist.append(tc)
currTool = tc.ToolNumber
sublist.append(obj)
postlist.append((obj.Label, sublist))
if job.SplitOutput:
PathLog.track()
return postlist
else:
PathLog.track()
finalpostlist = [
("allitems", [item for slist in postlist for item in slist[1]])
]
return finalpostlist
def execute(self, obj):
newpath = []
global currLocation
if not obj.Base:
return
if not obj.Base.isDerivedFrom("Path::Feature"):
return
if obj.Base.Path.Commands:
firstmove = Path.Command("G0", {"X": 0, "Y": 0, "Z": 0})
currLocation.update(firstmove.Parameters)
queue = []
for curCommand in obj.Base.Path.Commands:
replace = None
# don't worry about non-move commands, just add to output
if curCommand.Name not in movecommands + rapidcommands:
newpath.append(curCommand)
continue
# rapid retract triggers exit move, else just add to output
if curCommand.Name in rapidcommands:
if (curCommand.z > obj.pivotheight) and (len(queue) == 3):
# Process the exit move
tempqueue = queue
tempqueue.insert(0, curCommand)
if queue[1].Name in ['G01', 'G1']:
temp = self.lineExtension(obj, tempqueue)
newpath.extend(temp[0])
lastxy = temp[0][-1].Placement.Base
elif queue[1].Name in arccommands:
temp = self.arcExtension(obj, tempqueue)
newpath.extend(temp[0])
lastxy = temp[0][-1].Placement.Base
newpath.append(curCommand)
currLocation.update(curCommand.Parameters)
queue = []
continue
# keep a queue of feed moves and check for needed corners
if curCommand.Name in movecommands:
changedXYFlag = False
if queue:
if (curCommand.x != queue[0].x) or (curCommand.y !=
queue[0].y):
queue.insert(0, curCommand)
if len(queue) > 3:
queue.pop()
changedXYFlag = True
else:
queue = [curCommand]
# vertical feeding to depth
if curCommand.z != currLocation["Z"]:
newpath.append(curCommand)
currLocation.update(curCommand.Parameters)
continue
# Corner possibly needed
if changedXYFlag and (len(queue) == 3):
# check if the inciden angle incident exceeds the filter
incident_angle = self.getIncidentAngle(queue)
if abs(incident_angle) >= obj.filterangle:
if self.shortcut(queue) == "CW":
#if incident_angle >= 0:
twistCW = True
else:
twistCW = False
#
# DO THE EXTENSION
#
if queue[1].Name in ['G01', 'G1']:
temp = self.lineExtension(obj, queue)
newpath.extend(temp[0])
replace = temp[1]
lastxy = temp[0][-1].Placement.Base
elif queue[1].Name in arccommands:
temp = self.arcExtension(obj, queue)
newpath.extend(temp[0])
replace = temp[1]
lastxy = temp[0][-1].Placement.Base
else:
FreeCAD.Console.PrintWarning(
"I don't know what's up")
#
# DO THE TWIST
#
if queue[0].Name in ['G01', 'G1']:
temp = self.lineTwist(obj, queue, lastxy,
twistCW)
replace = temp[1]
newpath.extend(temp[0])
elif queue[0].Name in arccommands:
temp = self.arcTwist(obj, queue, lastxy,
twistCW)
replace = temp[1]
newpath.extend(temp[0])
else:
FreeCAD.Console.PrintWarning(
"I don't know what's up")
if replace is None:
newpath.append(curCommand)
else:
newpath.append(replace)
currLocation.update(curCommand.Parameters)
continue
commands = newpath
path = Path.Path(commands)
obj.Path = path
def parse(pathobj):
out = ""
lastcommand = None
precision_string = "." + str(PRECISION) + "f"
currLocation = {} # keep track for no doubles
# The params list control the order of parameters
params = [
"X",
"Y",
"Z",
"A",
"B",
"C",
"I",
"J",
"K",
"R",
"F",
"S",
"T",
"H",
"L",
"Q",
]
firstmove = Path.Command("G0", {"X": -1, "Y": -1, "Z": -1, "F": 0.0})
currLocation.update(firstmove.Parameters) # set First location Parameters
if hasattr(pathobj, "Group"):
# We have a compound or project.
# if OUTPUT_COMMENTS:
# out += linenumber() + "(compound: " + pathobj.Label + ")\n"
for p in pathobj.Group:
out += parse(p)
return out
else:
# parsing simple path
# groups might contain non-path things like stock.
if not hasattr(pathobj, "Path"):
return out
# if OUTPUT_COMMENTS:
# out += linenumber() + "(" + pathobj.Label + ")\n"
for c in pathobj.Path.Commands:
commandlist = [
] # list of elements in the command, code and params.
command = c.Name.strip() # command M or G code or comment string
commandlist.append(command)
# if modal: only print the command if it is not the same as the last one
if MODAL is True:
if command == lastcommand:
commandlist.pop(0)
if c.Name[0] == "(" and not OUTPUT_COMMENTS: # command is a comment
continue
# Now add the remaining parameters in order
for param in params:
if param in c.Parameters:
if param == "F" and (
currLocation[param] != c.Parameters[param]
or REPEAT_ARGUMENTS):
if c.Name not in ["G0", "G00"]: # No F in G0
speed = Units.Quantity(c.Parameters["F"],
FreeCAD.Units.Velocity)
if speed.getValueAs(UNIT_SPEED_FORMAT) > 0.0:
commandlist.append(param + format(
float(speed.getValueAs(UNIT_SPEED_FORMAT)),
precision_string,
))
else:
continue
elif param == "T":
commandlist.append(param + str(int(c.Parameters["T"])))
elif param == "H":
commandlist.append(param + str(int(c.Parameters["H"])))
elif param == "D":
commandlist.append(param + str(int(c.Parameters["D"])))
elif param == "S":
commandlist.append(param + str(int(c.Parameters["S"])))
else:
if ((not REPEAT_ARGUMENTS) and (param in currLocation)
and
(currLocation[param] == c.Parameters[param])):
continue
else:
pos = Units.Quantity(c.Parameters[param],
FreeCAD.Units.Length)
commandlist.append(
param +
format(float(pos.getValueAs(UNIT_FORMAT)),
precision_string))
# store the latest command
lastcommand = command
currLocation.update(c.Parameters)
# Check for Tool Change:
if command == "M6":
for line in TOOL_CHANGE.splitlines(True):
out += linenumber() + line
# add height offset
if USE_TLO:
tool_height = "\nG43 H" + str(int(c.Parameters["T"]))
commandlist.append(tool_height)
if command == "message":
if OUTPUT_COMMENTS is False:
out = []
else:
commandlist.pop(0) # remove the command
# prepend a line number and append a newline
if len(commandlist) >= 1:
if OUTPUT_LINE_NUMBERS:
commandlist.insert(0, (linenumber()))
# append the line to the final output
for w in commandlist:
out += w.strip() + COMMAND_SPACE
if trace_gcode:
print("parse : >>{}".format(out))
out = out.strip() + "\n"
return out
def execute(self, obj):
output = ""
toolLoad = PathUtils.getLastToolLoad(obj)
if toolLoad is None or toolLoad.ToolNumber == 0:
self.vertFeed = 100
self.horizFeed = 100
self.radius = 0.25
obj.ToolNumber = 0
obj.ToolDescription = "UNDEFINED"
else:
self.vertFeed = toolLoad.VertFeed.Value
self.horizFeed = toolLoad.HorizFeed.Value
tool = PathUtils.getTool(obj, toolLoad.ToolNumber)
self.radius = tool.Diameter/2
obj.ToolNumber = toolLoad.ToolNumber
obj.ToolDescription = toolLoad.Name
if obj.UserLabel == "":
obj.Label = obj.Name + " (" + obj.ToolDescription + ")"
else:
obj.Label = obj.UserLabel + " (" + obj.ToolDescription + ")"
locations = []
output = "(Begin Drilling)\n"
if obj.Base:
for loc in obj.Base:
for sub in loc[1]:
if "Face" in sub or "Edge" in sub:
s = getattr(loc[0].Shape, sub)
else:
s = loc[0].Shape
if s.ShapeType in ['Wire', 'Edge']:
X = s.Edges[0].Curve.Center.x
Y = s.Edges[0].Curve.Center.y
Z = s.Edges[0].Curve.Center.z
elif s.ShapeType in ['Vertex']:
X = s.Point.x
Y = s.Point.y
Z = s.Point.z
elif s.ShapeType in ['Face']:
#if abs(s.normalAt(0, 0).z) == 1: # horizontal face
X = s.CenterOfMass.x
Y = s.CenterOfMass.y
Z = s.CenterOfMass.z
locations.append(FreeCAD.Vector(X, Y, Z))
output += "G90 G98\n"
# rapid to clearance height
output += "G0 Z" + str(obj.ClearanceHeight.Value)
# rapid to first hole location, with spindle still retracted:
p0 = locations[0]
output += "G0 X" + fmt(p0.x) + " Y" + fmt(p0.y) + "\n"
# move tool to clearance plane
output += "G0 Z" + fmt(obj.ClearanceHeight.Value) + "\n"
if obj.PeckDepth.Value > 0:
cmd = "G83"
qword = " Q" + fmt(obj.PeckDepth.Value)
else:
cmd = "G81"
qword = ""
for p in locations:
output += cmd + \
" X" + fmt(p.x) + \
" Y" + fmt(p.y) + \
" Z" + fmt(obj.FinalDepth.Value) + qword + \
" R" + str(obj.RetractHeight.Value) + \
" F" + str(self.vertFeed) + "\n" \
output += "G80\n"
path = Path.Path(output)
obj.Path = path
def GenerateGCode(op, obj, adaptiveResults, helixDiameter):
# pylint: disable=unused-argument
if len(adaptiveResults) == 0 or len(
adaptiveResults[0]["AdaptivePaths"]) == 0:
return
# minLiftDistance = op.tool.Diameter
helixRadius = 0
for region in adaptiveResults:
p1 = region["HelixCenterPoint"]
p2 = region["StartPoint"]
r = math.sqrt((p1[0] - p2[0]) * (p1[0] - p2[0]) + (p1[1] - p2[1]) *
(p1[1] - p2[1]))
if r > helixRadius:
helixRadius = r
stepDown = obj.StepDown.Value
passStartDepth = obj.StartDepth.Value
if stepDown < 0.1:
stepDown = 0.1
length = 2 * math.pi * helixRadius
if float(obj.HelixAngle) < 1:
obj.HelixAngle = 1
if float(obj.HelixAngle) > 89:
obj.HelixAngle = 89
if float(obj.HelixConeAngle) < 0:
obj.HelixConeAngle = 0
helixAngleRad = math.pi * float(obj.HelixAngle) / 180.0
depthPerOneCircle = length * math.tan(helixAngleRad)
# print("Helix circle depth: {}".format(depthPerOneCircle))
stepUp = obj.LiftDistance.Value
if stepUp < 0:
stepUp = 0
finish_step = obj.FinishDepth.Value if hasattr(obj, "FinishDepth") else 0.0
if finish_step > stepDown:
finish_step = stepDown
depth_params = PathUtils.depth_params(
clearance_height=obj.ClearanceHeight.Value,
safe_height=obj.SafeHeight.Value,
start_depth=obj.StartDepth.Value,
step_down=stepDown,
z_finish_step=finish_step,
final_depth=obj.FinalDepth.Value,
user_depths=None)
# ml: this is dangerous because it'll hide all unused variables hence forward
# however, I don't know what lx and ly signify so I'll leave them for now
# pylint: disable=unused-variable
# lx = adaptiveResults[0]["HelixCenterPoint"][0]
# ly = adaptiveResults[0]["HelixCenterPoint"][1]
lz = passStartDepth
step = 0
for passEndDepth in depth_params.data:
step = step + 1
for region in adaptiveResults:
startAngle = math.atan2(
region["StartPoint"][1] - region["HelixCenterPoint"][1],
region["StartPoint"][0] - region["HelixCenterPoint"][0])
# lx = region["HelixCenterPoint"][0]
# ly = region["HelixCenterPoint"][1]
passDepth = (passStartDepth - passEndDepth)
p1 = region["HelixCenterPoint"]
p2 = region["StartPoint"]
helixRadius = math.sqrt((p1[0] - p2[0]) * (p1[0] - p2[0]) +
(p1[1] - p2[1]) * (p1[1] - p2[1]))
# Helix ramp
if helixRadius > 0.01:
r = helixRadius - 0.01
maxfi = passDepth / depthPerOneCircle * 2 * math.pi
fi = 0
offsetFi = -maxfi + startAngle - math.pi / 16
helixStart = [
region["HelixCenterPoint"][0] + r * math.cos(offsetFi),
region["HelixCenterPoint"][1] + r * math.sin(offsetFi)
]
op.commandlist.append(
Path.Command("(Helix to depth: %f)" % passEndDepth))
if obj.UseHelixArcs is False:
# rapid move to start point
op.commandlist.append(
Path.Command("G0", {"Z": obj.ClearanceHeight.Value}))
op.commandlist.append(
Path.Command(
"G0", {
"X": helixStart[0],
"Y": helixStart[1],
"Z": obj.ClearanceHeight.Value
}))
# rapid move to safe height
op.commandlist.append(
Path.Command(
"G0", {
"X": helixStart[0],
"Y": helixStart[1],
"Z": obj.SafeHeight.Value
}))
# move to start depth
op.commandlist.append(
Path.Command(
"G1", {
"X": helixStart[0],
"Y": helixStart[1],
"Z": passStartDepth,
"F": op.vertFeed
}))
if obj.HelixConeAngle == 0:
while fi < maxfi:
x = region["HelixCenterPoint"][0] + r * math.cos(
fi + offsetFi)
y = region["HelixCenterPoint"][1] + r * math.sin(
fi + offsetFi)
z = passStartDepth - fi / maxfi * (passStartDepth -
passEndDepth)
op.commandlist.append(
Path.Command("G1", {
"X": x,
"Y": y,
"Z": z,
"F": op.vertFeed
}))
# lx = x
# ly = y
fi = fi + math.pi / 16
# one more circle at target depth to make sure center is cleared
maxfi = maxfi + 2 * math.pi
while fi < maxfi:
x = region["HelixCenterPoint"][0] + r * math.cos(
fi + offsetFi)
y = region["HelixCenterPoint"][1] + r * math.sin(
fi + offsetFi)
z = passEndDepth
op.commandlist.append(
Path.Command("G1", {
"X": x,
"Y": y,
"Z": z,
"F": op.horizFeed
}))
# lx = x
# ly = y
fi = fi + math.pi / 16
else:
# Cone
_HelixAngle = 360 - (float(obj.HelixAngle) * 4)
if obj.HelixConeAngle > 6:
obj.HelixConeAngle = 6
helixRadius *= 0.9
# Calculate everything
helix_height = passStartDepth - passEndDepth
r_extra = helix_height * math.tan(
math.radians(obj.HelixConeAngle))
HelixTopRadius = helixRadius + r_extra
helix_full_height = HelixTopRadius * (
math.cos(math.radians(obj.HelixConeAngle)) /
math.sin(math.radians(obj.HelixConeAngle)))
# Start height
z = passStartDepth
i = 0
# Default step down
z_step = 0.05
# Bigger angle, smaller step down
if _HelixAngle > 120:
z_step = 0.025
if _HelixAngle > 240:
z_step = 0.015
p = None
# Calculate conical helix
while (z >= passEndDepth):
if z < passEndDepth:
z = passEndDepth
p = CalcHelixConePoint(helix_full_height, i,
HelixTopRadius, _HelixAngle)
op.commandlist.append(
Path.Command(
"G1", {
"X":
p['X'] + region["HelixCenterPoint"][0],
"Y":
p['Y'] + region["HelixCenterPoint"][1],
"Z": z,
"F": op.vertFeed
}))
z = z - z_step
i = i + z_step
# Calculate some stuff for arcs at bottom
p['X'] = p['X'] + region["HelixCenterPoint"][0]
p['Y'] = p['Y'] + region["HelixCenterPoint"][1]
x_m = region["HelixCenterPoint"][0] - p['X'] + region[
"HelixCenterPoint"][0]
y_m = region["HelixCenterPoint"][1] - p['Y'] + region[
"HelixCenterPoint"][1]
i_off = (x_m - p['X']) / 2
j_off = (y_m - p['Y']) / 2
# One more circle at target depth to make sure center is cleared
op.commandlist.append(
Path.Command(
"G3", {
"X": x_m,
"Y": y_m,
"Z": passEndDepth,
"I": i_off,
"J": j_off,
"F": op.horizFeed
}))
op.commandlist.append(
Path.Command(
"G3", {
"X": p['X'],
"Y": p['Y'],
"Z": passEndDepth,
"I": -i_off,
"J": -j_off,
"F": op.horizFeed
}))
else:
# Use arcs for helix - no conical shape support
helixStart = [
region["HelixCenterPoint"][0] + r,
region["HelixCenterPoint"][1]
]
# rapid move to start point
op.commandlist.append(
Path.Command("G0", {"Z": obj.ClearanceHeight.Value}))
op.commandlist.append(
Path.Command(
"G0", {
"X": helixStart[0],
"Y": helixStart[1],
"Z": obj.ClearanceHeight.Value
}))
# rapid move to safe height
op.commandlist.append(
Path.Command(
"G0", {
"X": helixStart[0],
"Y": helixStart[1],
"Z": obj.SafeHeight.Value
}))
# move to start depth
op.commandlist.append(
Path.Command(
"G1", {
"X": helixStart[0],
"Y": helixStart[1],
"Z": passStartDepth,
"F": op.vertFeed
}))
x = region["HelixCenterPoint"][0] + r
y = region["HelixCenterPoint"][1]
curDep = passStartDepth
while curDep > (passEndDepth + depthPerOneCircle):
op.commandlist.append(
Path.Command(
"G2", {
"X": x - (2 * r),
"Y": y,
"Z": curDep - (depthPerOneCircle / 2),
"I": -r,
"F": op.vertFeed
}))
op.commandlist.append(
Path.Command(
"G2", {
"X": x,
"Y": y,
"Z": curDep - depthPerOneCircle,
"I": r,
"F": op.vertFeed
}))
curDep = curDep - depthPerOneCircle
lastStep = curDep - passEndDepth
if lastStep > (depthPerOneCircle / 2):
op.commandlist.append(
Path.Command(
"G2", {
"X": x - (2 * r),
"Y": y,
"Z": curDep - (lastStep / 2),
"I": -r,
"F": op.vertFeed
}))
op.commandlist.append(
Path.Command(
"G2", {
"X": x,
"Y": y,
"Z": passEndDepth,
"I": r,
"F": op.vertFeed
}))
else:
op.commandlist.append(
Path.Command(
"G2", {
"X": x - (2 * r),
"Y": y,
"Z": passEndDepth,
"I": -r,
"F": op.vertFeed
}))
op.commandlist.append(
Path.Command(
"G1", {
"X": x,
"Y": y,
"Z": passEndDepth,
"F": op.vertFeed
}))
# one more circle at target depth to make sure center is cleared
op.commandlist.append(
Path.Command(
"G2", {
"X": x - (2 * r),
"Y": y,
"Z": passEndDepth,
"I": -r,
"F": op.horizFeed
}))
op.commandlist.append(
Path.Command(
"G2", {
"X": x,
"Y": y,
"Z": passEndDepth,
"I": r,
"F": op.horizFeed
}))
# lx = x
# ly = y
else: # no helix entry
# rapid move to clearance height
op.commandlist.append(
Path.Command("G0", {"Z": obj.ClearanceHeight.Value}))
op.commandlist.append(
Path.Command(
"G0", {
"X": region["StartPoint"][0],
"Y": region["StartPoint"][1],
"Z": obj.ClearanceHeight.Value
}))
# straight plunge to target depth
op.commandlist.append(
Path.Command(
"G1", {
"X": region["StartPoint"][0],
"Y": region["StartPoint"][1],
"Z": passEndDepth,
"F": op.vertFeed
}))
lz = passEndDepth
z = obj.ClearanceHeight.Value
op.commandlist.append(
Path.Command("(Adaptive - depth: %f)" % passEndDepth))
# add adaptive paths
for pth in region["AdaptivePaths"]:
motionType = pth[0] # [0] contains motion type
for pt in pth[1]: # [1] contains list of points
x = pt[0]
y = pt[1]
# dist = math.sqrt((x-lx)*(x-lx) + (y-ly)*(y-ly))
if motionType == area.AdaptiveMotionType.Cutting:
z = passEndDepth
if z != lz:
op.commandlist.append(
Path.Command("G1", {
"Z": z,
"F": op.vertFeed
}))
op.commandlist.append(
Path.Command("G1", {
"X": x,
"Y": y,
"F": op.horizFeed
}))
elif motionType == area.AdaptiveMotionType.LinkClear:
z = passEndDepth + stepUp
if z != lz:
op.commandlist.append(Path.Command("G0", {"Z": z}))
op.commandlist.append(
Path.Command("G0", {
"X": x,
"Y": y
}))
elif motionType == area.AdaptiveMotionType.LinkNotClear:
z = obj.ClearanceHeight.Value
if z != lz:
op.commandlist.append(Path.Command("G0", {"Z": z}))
op.commandlist.append(
Path.Command("G0", {
"X": x,
"Y": y
}))
# elif motionType == area.AdaptiveMotionType.LinkClearAtPrevPass:
# if lx!=x or ly!=y:
# op.commandlist.append(Path.Command("G0", { "X": lx, "Y":ly, "Z":passStartDepth+stepUp}))
# op.commandlist.append(Path.Command("G0", { "X": x, "Y":y, "Z":passStartDepth+stepUp}))
# lx = x
# ly = y
lz = z
# return to safe height in this Z pass
z = obj.ClearanceHeight.Value
if z != lz:
op.commandlist.append(Path.Command("G0", {"Z": z}))
lz = z
passStartDepth = passEndDepth
# return to safe height in this Z pass
z = obj.ClearanceHeight.Value
if z != lz:
op.commandlist.append(Path.Command("G0", {"Z": z}))
lz = z
z = obj.ClearanceHeight.Value
if z != lz:
op.commandlist.append(Path.Command("G0", {"Z": z}))
lz = z
def load_train(depth=0):
"""
Load dataset for training and validating.
*NOTE* If you need a validating set, you SHOULD split from training set
by yourself.
Args
----
depth: int, 0 by default
Maximum moves of time window. 0 means no need to move time window.
Returns
-------
X: numpy ndarray, shape: (num_of_enrollments, num_of_features)
Rows of features. It is the features of all time if cache_only is True.
y: numpy ndarray, shape: (num_of_enrollments,)
Vector of labels. It is the labels of all time if cache_only is True.
"""
logger.debug('loading train set of depth %d', depth)
enroll_set = IO.load_enrollment_train()
log_all = IO.load_logs()
base_date = datetime(2014, 8, 1, 22, 0, 47)
logger.debug('loading features before %s', base_date)
enroll_ids = __enroll_ids_with_log__(log_all, enroll_set['enrollment_id'],
base_date)
pkl_X_path = Path.of_cache('train_X.%s.pkl' % base_date)
pkl_y_path = Path.of_cache('train_y.%s.pkl' % base_date)
X = IO.fetch_cache(pkl_X_path)
y = IO.fetch_cache(pkl_y_path)
if X is None or y is None:
logger.debug('cache missed, calculating ...')
X, _ = __load_dataset__(log_all, enroll_ids, base_date)
y_with_id = IO.load_train_y()
y = np.array(pd.merge(enroll_set, y_with_id, how='left',
on='enrollment_id')['y'])
if np.any(np.isnan(y)):
logger.fatal('something wrong with y')
raise RuntimeError('something wrong with y')
IO.cache(X, pkl_X_path)
IO.cache(y, pkl_y_path)
base_date = datetime(2014, 7, 22, 22, 0, 47)
Dw = timedelta(days=7)
enroll_ids = __enroll_ids_with_log__(log_all, enroll_ids, base_date)
for _ in range(depth):
if enroll_ids.size <= 0:
break
logger.debug('loading features before %s', base_date)
# get instances and labels
pkl_X_path = Path.of_cache('train_X.%s.pkl' % base_date)
pkl_y_path = Path.of_cache('train_y.%s.pkl' % base_date)
X_temp = IO.fetch_cache(pkl_X_path)
y_temp = IO.fetch_cache(pkl_y_path)
if X_temp is None or y_temp is None:
logger.debug('cache missed, calculating ...')
X_temp, y_temp = __load_dataset__(log_all, enroll_ids, base_date)
IO.cache(X_temp, pkl_X_path)
IO.cache(y_temp, pkl_y_path)
# update instances and labels
X = np.r_[X, X_temp]
y = np.append(y, y_temp)
# update base_date and enroll_ids
base_date -= Dw
enroll_ids = __enroll_ids_with_log__(log_all, enroll_ids, base_date)
logger.debug('train set loaded')
if np.any(np.isinf(X)):
logger.debug('train set has INF')
return X, y
def circularHoleExecute(self, obj, holes):
'''circularHoleExecute(obj, holes) ... generate drill operation for each hole in holes.'''
PathLog.track()
PathLog.debug("\ncircularHoleExecute() in PathDrilling.py")
lastAxis = None
lastAngle = 0.0
self.commandlist.append(Path.Command("(Begin Drilling)"))
# rapid to clearance height
self.commandlist.append(Path.Command('G0', {'Z': obj.ClearanceHeight.Value, 'F': self.vertRapid}))
tiplength = 0.0
if obj.AddTipLength:
tiplength = PathUtils.drillTipLength(self.tool)
holes = PathUtils.sort_jobs(holes, ['x', 'y'])
self.commandlist.append(Path.Command('G90'))
self.commandlist.append(Path.Command(obj.ReturnLevel))
# ml: I'm not sure whey these were here, they seem redundant
# # rapid to first hole location, with spindle still retracted:
# p0 = holes[0]
# self.commandlist.append(Path.Command('G0', {'X': p0['x'], 'Y': p0['y'], 'F': self.horizRapid}))
# # move tool to clearance plane
# self.commandlist.append(Path.Command('G0', {'Z': obj.ClearanceHeight.Value, 'F': self.vertRapid}))
for p in holes:
cmd = "G81"
cmdParams = {}
cmdParams['Z'] = p['trgtDep'] - tiplength
cmdParams['F'] = self.vertFeed
cmdParams['R'] = obj.RetractHeight.Value
if obj.PeckEnabled and obj.PeckDepth.Value > 0:
cmd = "G83"
cmdParams['Q'] = obj.PeckDepth.Value
elif obj.DwellEnabled and obj.DwellTime > 0:
cmd = "G82"
cmdParams['P'] = obj.DwellTime
params = {}
params['X'] = p['x']
params['Y'] = p['y']
params.update(cmdParams)
if obj.EnableRotation != 'Off':
angle = p['angle']
axis = p['axis']
# Rotate model to index for hole
if axis == 'X':
axisOfRot = 'A'
elif axis == 'Y':
axisOfRot = 'B'
# Reverse angle temporarily to match model. Error in FreeCAD render of B axis rotations
if obj.B_AxisErrorOverride is True:
angle = -1 * angle
elif axis == 'Z':
axisOfRot = 'C'
else:
axisOfRot = 'A'
# Set initial values for last axis and angle
if lastAxis is None:
lastAxis = axisOfRot
lastAngle = angle
# Handle axial and angular transitions
if axisOfRot != lastAxis:
self.commandlist.append(Path.Command('G0', {'Z': obj.SafeHeight.Value, 'F': self.vertRapid}))
self.commandlist.append(Path.Command('G0', {lastAxis: 0.0, 'F': self.axialRapid}))
elif angle != lastAngle:
self.commandlist.append(Path.Command('G0', {'Z': obj.SafeHeight.Value, 'F': self.vertRapid}))
# Prepare for drilling cycle
self.commandlist.append(Path.Command('G0', {axisOfRot: angle, 'F': self.axialRapid}))
self.commandlist.append(Path.Command('G0', {'X': p['x'], 'Y': p['y'], 'F': self.horizRapid}))
self.commandlist.append(Path.Command('G1', {'Z': p['stkTop'], 'F': self.vertFeed}))
# Perform and cancel canned drilling cycle
self.commandlist.append(Path.Command(cmd, params))
self.commandlist.append(Path.Command('G80'))
# shift axis and angle values
if obj.EnableRotation != 'Off':
lastAxis = axisOfRot
lastAngle = angle
if obj.EnableRotation != 'Off':
self.commandlist.append(Path.Command('G0', {'Z': obj.SafeHeight.Value, 'F': self.vertRapid}))
self.commandlist.append(Path.Command('G0', {lastAxis: 0.0, 'F': self.axialRapid}))
时间：2014年12月16日
创建人:李胤龙
"""
import interface_token
import urllib
import urllib2
import json
import unittest
import time
import HTMLTestRunner
import Path
# 定义要创建的目录
Testjresult="E:\\Test jresult\\interface\\"
# 调用函数
Path.mkdir(Testjresult)
# 获取fctoken
fctoken = interface_token.fctoken()
class interface(unittest.TestCase):
def setUp(self):
pass
#获取某个当前账户的详细信息/GET方式
def info_account(self):
url = "http://dev.cdnboss.fastweb.com.cn/innerapi.php/Base/info_account"
req = url+'/fctoken/'+fctoken +'/fcname/fastweb/user_id/142'
res_data = urllib2.urlopen(req)
res = res_data.read()
def internalThreadCommands(loc, cmd, zStart, zFinal, pitch, radius, leadInOut):
'''internalThreadCommands(loc, cmd, zStart, zFinal, pitch, radius) ... returns the g-code to mill the given internal thread'''
thread = _InternalThread(cmd, zStart, zFinal, pitch)
yMin = loc.y - radius
yMax = loc.y + radius
path = []
# at this point the tool is at a safe height (depending on the previous thread), so we can move
# into position first, and then drop to the start height. If there is any material in the way this
# op hasn't been setup properly.
path.append(Path.Command('G0', {'X': loc.x, 'Y': loc.y}))
path.append(Path.Command('G0', {'Z': thread.zStart}))
if leadInOut:
path.append(
Path.Command(thread.cmd, {
'Y': yMax,
'J': (yMax - loc.y) / 2
}))
else:
path.append(Path.Command('G1', {'Y': yMax}))
z = thread.zStart
r = -radius
i = 0
while True:
z = thread.zStart + i * thread.hPitch
if thread.overshoots(z):
break
if 0 == (i & 0x01):
y = yMin
else:
y = yMax
path.append(
Path.Command(thread.cmd, {
'Y': y,
'Z': z + thread.hPitch,
'J': r
}))
r = -r
i = i + 1
z = thread.zStart + i * thread.hPitch
if PathGeom.isRoughly(z, thread.zFinal):
x = loc.x
else:
n = math.fabs(thread.zFinal - thread.zStart) / thread.hPitch
k = n - int(n)
dy = math.cos(k * math.pi)
dx = math.sin(k * math.pi)
y = thread.adjustY(loc.y, r * dy)
x = thread.adjustX(loc.x, r * dx)
path.append(
Path.Command(thread.cmd, {
'X': x,
'Y': y,
'Z': thread.zFinal,
'J': r
}))
if leadInOut:
path.append(
Path.Command(thread.cmd, {
'X': loc.x,
'Y': loc.y,
'I': (loc.x - x) / 2,
'J': (loc.y - y) / 2
}))
else:
path.append(Path.Command('G1', {'X': loc.x, 'Y': loc.y}))
return path
def createPath(self, obj, pathData, tags):
PathLog.track()
commands = []
lastEdge = 0
lastTag = 0
# sameTag = None
t = 0
# inters = None
edge = None
segm = 50
if hasattr(obj, 'SegmentationFactor'):
segm = obj.SegmentationFactor
if segm <= 0:
segm = 50
obj.SegmentationFactor = 50
self.mappers = []
mapper = None
tc = PathDressup.toolController(obj.Base)
horizFeed = tc.HorizFeed.Value
vertFeed = tc.VertFeed.Value
horizRapid = tc.HorizRapid.Value
vertRapid = tc.VertRapid.Value
while edge or lastEdge < len(pathData.edges):
PathLog.debug("------- lastEdge = %d/%d.%d/%d" %
(lastEdge, lastTag, t, len(tags)))
if not edge:
edge = pathData.edges[lastEdge]
debugEdge(
edge, "======= new edge: %d/%d" %
(lastEdge, len(pathData.edges)))
lastEdge += 1
# sameTag = None
if mapper:
mapper.add(edge)
if mapper.mappingComplete():
commands.extend(mapper.commands)
edge = mapper.tail
mapper = None
else:
edge = None
if edge:
tIndex = (t + lastTag) % len(tags)
t += 1
i = tags[tIndex].intersects(edge, edge.FirstParameter)
if i and self.isValidTagStartIntersection(edge, i):
mapper = MapWireToTag(edge,
tags[tIndex],
i,
segm,
pathData.maxZ,
hSpeed=horizFeed,
vSpeed=vertFeed)
self.mappers.append(mapper)
edge = mapper.tail
if not mapper and t >= len(tags):
# gone through all tags, consume edge and move on
if edge:
debugEdge(edge, '++++++++')
if pathData.rapid.isRapid(edge):
v = edge.Vertexes[1]
if not commands and PathGeom.isRoughly(
0, v.X) and PathGeom.isRoughly(
0, v.Y) and not PathGeom.isRoughly(0, v.Z):
# The very first move is just to move to ClearanceHeight
commands.append(
Path.Command('G0', {
'Z': v.Z,
'F': horizRapid
}))
else:
commands.append(
Path.Command('G0', {
'X': v.X,
'Y': v.Y,
'Z': v.Z,
'F': vertRapid
}))
else:
commands.extend(
PathGeom.cmdsForEdge(edge,
segm=segm,
hSpeed=horizFeed,
vSpeed=vertFeed))
edge = None
t = 0
return Path.Path(commands)
def arcTwist(self, obj, queue, lastXY, twistCW=False):
'''returns gcode to do an arc move toward an arc to perform
a corner action twist. Inclues lifting and plungeing the knife'''
global currLocation
pivotheight = obj.pivotheight
offset = obj.offset
results = []
# set the correct twist command
if twistCW is False:
arcdir = "G3"
else:
arcdir = "G2"
# move to the pivot heigth
zdepth = currLocation["Z"]
retract = Path.Command("G0", {"Z": pivotheight})
results.append(retract)
currLocation.update(retract.Parameters)
# get the center of the destination arc
arccenter = FreeCAD.Base.Vector(queue[1].x + queue[0].I,
queue[1].y + queue[0].J,
currLocation["Z"])
# The center of the twist arc is the old line end point.
C = queue[1].Placement.Base
# Find radius of old arc
R = math.hypot(queue[0].I, queue[0].J)
# find angle of original center to startpoint
v1 = queue[1].Placement.Base.sub(arccenter)
segAngle = D.angle(v1, FreeCAD.Base.Vector(1, 0, 0),
FreeCAD.Base.Vector(0, 0, -1))
# Find angle subtended by the offset
theta = offset / R
# add or subtract theta depending on direction
if queue[1].Name in ["G2", "G02"]:
newangle = segAngle + theta
else:
newangle = segAngle - theta
# calculate endpoints
Bx = arccenter.x + R * math.cos(newangle)
By = arccenter.y + R * math.sin(newangle)
endpointvector = FreeCAD.Base.Vector(Bx, By, currLocation['Z'])
# calculate IJ offsets of twist arc from current position.
offsetvector = C.sub(lastXY)
# add G2/G3 move
arcmove = Path.Command(
arcdir, {
"X": endpointvector.x,
"Y": endpointvector.y,
"I": offsetvector.x,
"J": offsetvector.y
})
results.append(arcmove)
currLocation.update(arcmove.Parameters)
# plunge back to depth
plunge = Path.Command("G1", {"Z": zdepth})
results.append(plunge)
currLocation.update(plunge.Parameters)
# The old arc move won't work so calculate a replacement command
offsetv = arccenter.sub(endpointvector)
replace = Path.Command(queue[0].Name, {
"X": queue[0].X,
"Y": queue[0].Y,
"I": offsetv.x,
"J": offsetv.y
})
return (results, replace)
